diff --git a/docs/inference-providers/providers/cerebras.md b/docs/inference-providers/providers/cerebras.md index 4235ba8f0..10a030964 100644 --- a/docs/inference-providers/providers/cerebras.md +++ b/docs/inference-providers/providers/cerebras.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Cerebras -> [!TIP] -> All supported Cerebras models can be found [here](https://huggingface.co/models?inference_provider=cerebras&sort=trending) + + +All supported Cerebras models can be found [here](https://huggingface.co/models?inference_provider=cerebras&sort=trending) + +
diff --git a/docs/inference-providers/providers/cohere.md b/docs/inference-providers/providers/cohere.md index ed9f1df06..bce401ec0 100644 --- a/docs/inference-providers/providers/cohere.md +++ b/docs/inference-providers/providers/cohere.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Cohere -> [!TIP] -> All supported Cohere models can be found [here](https://huggingface.co/models?inference_provider=cohere&sort=trending) + + +All supported Cohere models can be found [here](https://huggingface.co/models?inference_provider=cohere&sort=trending) + +
diff --git a/docs/inference-providers/providers/fal-ai.md b/docs/inference-providers/providers/fal-ai.md index ab9a3b805..800142765 100644 --- a/docs/inference-providers/providers/fal-ai.md +++ b/docs/inference-providers/providers/fal-ai.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Fal -> [!TIP] -> All supported Fal models can be found [here](https://huggingface.co/models?inference_provider=fal-ai&sort=trending) + + +All supported Fal models can be found [here](https://huggingface.co/models?inference_provider=fal-ai&sort=trending) + +
diff --git a/docs/inference-providers/providers/featherless-ai.md b/docs/inference-providers/providers/featherless-ai.md index eccb16fce..2f89a71fb 100644 --- a/docs/inference-providers/providers/featherless-ai.md +++ b/docs/inference-providers/providers/featherless-ai.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Featherless AI -> [!TIP] -> All supported Featherless AI models can be found [here](https://huggingface.co/models?inference_provider=featherless-ai&sort=trending) + + +All supported Featherless AI models can be found [here](https://huggingface.co/models?inference_provider=featherless-ai&sort=trending) + +
diff --git a/docs/inference-providers/providers/fireworks-ai.md b/docs/inference-providers/providers/fireworks-ai.md index dd3d6e9e5..458b4a795 100644 --- a/docs/inference-providers/providers/fireworks-ai.md +++ b/docs/inference-providers/providers/fireworks-ai.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Fireworks AI -> [!TIP] -> All supported Fireworks AI models can be found [here](https://huggingface.co/models?inference_provider=fireworks-ai&sort=trending) + + +All supported Fireworks AI models can be found [here](https://huggingface.co/models?inference_provider=fireworks-ai&sort=trending) + +
diff --git a/docs/inference-providers/providers/groq.md b/docs/inference-providers/providers/groq.md index 397376acc..80df0503b 100644 --- a/docs/inference-providers/providers/groq.md +++ b/docs/inference-providers/providers/groq.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Groq -> [!TIP] -> All supported Groq models can be found [here](https://huggingface.co/models?inference_provider=groq&sort=trending) + + +All supported Groq models can be found [here](https://huggingface.co/models?inference_provider=groq&sort=trending) + +
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md index 438022dc9..661f85fd6 100644 --- a/docs/inference-providers/providers/hf-inference.md +++ b/docs/inference-providers/providers/hf-inference.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # HF Inference -> [!TIP] -> All supported HF Inference models can be found [here](https://huggingface.co/models?inference_provider=hf-inference&sort=trending) + + +All supported HF Inference models can be found [here](https://huggingface.co/models?inference_provider=hf-inference&sort=trending) + +
@@ -70,7 +73,7 @@ Find out more about Feature Extraction [here](../tasks/feature_extraction). @@ -80,7 +83,7 @@ Find out more about Fill Mask [here](../tasks/fill_mask). diff --git a/docs/inference-providers/providers/hyperbolic.md b/docs/inference-providers/providers/hyperbolic.md index 4d468d41b..b9c6fbbf2 100644 --- a/docs/inference-providers/providers/hyperbolic.md +++ b/docs/inference-providers/providers/hyperbolic.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Hyperbolic: The On-Demand AI Cloud -> [!TIP] -> All supported Hyperbolic models can be found [here](https://huggingface.co/models?inference_provider=hyperbolic&sort=trending) + + +All supported Hyperbolic models can be found [here](https://huggingface.co/models?inference_provider=hyperbolic&sort=trending) + +
diff --git a/docs/inference-providers/providers/nebius.md b/docs/inference-providers/providers/nebius.md index 72fc63175..7d7ab29cc 100644 --- a/docs/inference-providers/providers/nebius.md +++ b/docs/inference-providers/providers/nebius.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Nebius -> [!TIP] -> All supported Nebius models can be found [here](https://huggingface.co/models?inference_provider=nebius&sort=trending) + + +All supported Nebius models can be found [here](https://huggingface.co/models?inference_provider=nebius&sort=trending) + +
diff --git a/docs/inference-providers/providers/novita.md b/docs/inference-providers/providers/novita.md index 1ea629f60..ff76a0017 100644 --- a/docs/inference-providers/providers/novita.md +++ b/docs/inference-providers/providers/novita.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Novita -> [!TIP] -> All supported Novita models can be found [here](https://huggingface.co/models?inference_provider=novita&sort=trending) + + +All supported Novita models can be found [here](https://huggingface.co/models?inference_provider=novita&sort=trending) + +
@@ -59,7 +62,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion). diff --git a/docs/inference-providers/providers/nscale.md b/docs/inference-providers/providers/nscale.md index fbb3a3960..f84d741cb 100644 --- a/docs/inference-providers/providers/nscale.md +++ b/docs/inference-providers/providers/nscale.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Nscale -> [!TIP] -> All supported Nscale models can be found [here](https://huggingface.co/models?inference_provider=nscale&sort=trending) + + +All supported Nscale models can be found [here](https://huggingface.co/models?inference_provider=nscale&sort=trending) + +
diff --git a/docs/inference-providers/providers/publicai.md b/docs/inference-providers/providers/publicai.md index 21a7627cb..5d578408c 100644 --- a/docs/inference-providers/providers/publicai.md +++ b/docs/inference-providers/providers/publicai.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # PublicAI -> [!TIP] -> All models supported by the PublicAI Inference Utility can be found [here](https://huggingface.co/models?inference_provider=publicai&sort=trending) + + +All models supported by the PublicAI Inference Utility can be found [here](https://huggingface.co/models?inference_provider=publicai&sort=trending) + +
diff --git a/docs/inference-providers/providers/replicate.md b/docs/inference-providers/providers/replicate.md index de9832ff4..677f10d31 100644 --- a/docs/inference-providers/providers/replicate.md +++ b/docs/inference-providers/providers/replicate.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Replicate -> [!TIP] -> All supported Replicate models can be found [here](https://huggingface.co/models?inference_provider=replicate&sort=trending) + + +All supported Replicate models can be found [here](https://huggingface.co/models?inference_provider=replicate&sort=trending) + +
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md index df463faf5..fefd34b9b 100644 --- a/docs/inference-providers/providers/sambanova.md +++ b/docs/inference-providers/providers/sambanova.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # SambaNova -> [!TIP] -> All supported SambaNova models can be found [here](https://huggingface.co/models?inference_provider=sambanova&sort=trending) + + +All supported SambaNova models can be found [here](https://huggingface.co/models?inference_provider=sambanova&sort=trending) + +
diff --git a/docs/inference-providers/providers/scaleway.md b/docs/inference-providers/providers/scaleway.md index b44591e36..1dbf5cc4c 100644 --- a/docs/inference-providers/providers/scaleway.md +++ b/docs/inference-providers/providers/scaleway.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Scaleway -> [!TIP] -> All supported Scaleway models can be found [here](https://huggingface.co/models?inference_provider=scaleway&sort=trending) + + +All supported Scaleway models can be found [here](https://huggingface.co/models?inference_provider=scaleway&sort=trending) + +
diff --git a/docs/inference-providers/providers/together.md b/docs/inference-providers/providers/together.md index f73670045..9b5035ef7 100644 --- a/docs/inference-providers/providers/together.md +++ b/docs/inference-providers/providers/together.md @@ -19,8 +19,11 @@ For more details, check out the `generate.ts` script: https://github.com/hugging # Together -> [!TIP] -> All supported Together models can be found [here](https://huggingface.co/models?inference_provider=together&sort=trending) + + +All supported Together models can be found [here](https://huggingface.co/models?inference_provider=together&sort=trending) + +
diff --git a/docs/inference-providers/tasks/audio-classification.md b/docs/inference-providers/tasks/audio-classification.md index 379f76354..fcc01910f 100644 --- a/docs/inference-providers/tasks/audio-classification.md +++ b/docs/inference-providers/tasks/audio-classification.md @@ -21,8 +21,11 @@ Example applications: * Identifying a speaker * Detecting the genre of a song -> [!TIP] -> For more details about the `audio-classification` task, check out its [dedicated page](https://huggingface.co/tasks/audio-classification)! You will find examples and related materials. + + +For more details about the `audio-classification` task, check out its [dedicated page](https://huggingface.co/tasks/audio-classification)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/automatic-speech-recognition.md b/docs/inference-providers/tasks/automatic-speech-recognition.md index f7d0f2d73..5e04d7548 100644 --- a/docs/inference-providers/tasks/automatic-speech-recognition.md +++ b/docs/inference-providers/tasks/automatic-speech-recognition.md @@ -21,8 +21,11 @@ Example applications: * Building a voice assistant * Generating subtitles for a video -> [!TIP] -> For more details about the `automatic-speech-recognition` task, check out its [dedicated page](https://huggingface.co/tasks/automatic-speech-recognition)! You will find examples and related materials. + + +For more details about the `automatic-speech-recognition` task, check out its [dedicated page](https://huggingface.co/tasks/automatic-speech-recognition)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md index 01eb79e44..e2362ac95 100644 --- a/docs/inference-providers/tasks/chat-completion.md +++ b/docs/inference-providers/tasks/chat-completion.md @@ -74,7 +74,7 @@ conversational /> diff --git a/docs/inference-providers/tasks/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md index feeaf9547..129205250 100644 --- a/docs/inference-providers/tasks/feature-extraction.md +++ b/docs/inference-providers/tasks/feature-extraction.md @@ -21,8 +21,11 @@ Example applications: * Reranking a list of documents based on their similarity to a query. * Calculating the similarity between two sentences. -> [!TIP] -> For more details about the `feature-extraction` task, check out its [dedicated page](https://huggingface.co/tasks/feature-extraction)! You will find examples and related materials. + + +For more details about the `feature-extraction` task, check out its [dedicated page](https://huggingface.co/tasks/feature-extraction)! You will find examples and related materials. + + ### Recommended models @@ -35,7 +38,7 @@ Explore all available models and find the one that suits you best [here](https:/ diff --git a/docs/inference-providers/tasks/fill-mask.md b/docs/inference-providers/tasks/fill-mask.md index 55000d75b..0e7894c7f 100644 --- a/docs/inference-providers/tasks/fill-mask.md +++ b/docs/inference-providers/tasks/fill-mask.md @@ -16,8 +16,11 @@ For more details, check out: Mask filling is the task of predicting the right word (token to be precise) in the middle of a sequence. -> [!TIP] -> For more details about the `fill-mask` task, check out its [dedicated page](https://huggingface.co/tasks/fill-mask)! You will find examples and related materials. + + +For more details about the `fill-mask` task, check out its [dedicated page](https://huggingface.co/tasks/fill-mask)! You will find examples and related materials. + + ### Recommended models @@ -30,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/ diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md index 97ac6c361..6c3864f8d 100644 --- a/docs/inference-providers/tasks/image-classification.md +++ b/docs/inference-providers/tasks/image-classification.md @@ -16,8 +16,11 @@ For more details, check out: Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. -> [!TIP] -> For more details about the `image-classification` task, check out its [dedicated page](https://huggingface.co/tasks/image-classification)! You will find examples and related materials. + + +For more details about the `image-classification` task, check out its [dedicated page](https://huggingface.co/tasks/image-classification)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md index 48bfdb28d..1ceca0e68 100644 --- a/docs/inference-providers/tasks/image-segmentation.md +++ b/docs/inference-providers/tasks/image-segmentation.md @@ -16,8 +16,11 @@ For more details, check out: Image Segmentation divides an image into segments where each pixel in the image is mapped to an object. -> [!TIP] -> For more details about the `image-segmentation` task, check out its [dedicated page](https://huggingface.co/tasks/image-segmentation)! You will find examples and related materials. + + +For more details about the `image-segmentation` task, check out its [dedicated page](https://huggingface.co/tasks/image-segmentation)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md index 5ad5a4dcd..d9bb7e10a 100644 --- a/docs/inference-providers/tasks/image-text-to-text.md +++ b/docs/inference-providers/tasks/image-text-to-text.md @@ -16,8 +16,11 @@ For more details, check out: Image-text-to-text models take in an image and text prompt and output text. These models are also called vision-language models, or VLMs. The difference from image-to-text models is that these models take an additional text input, not restricting the model to certain use cases like image captioning, and may also be trained to accept a conversation as input. -> [!TIP] -> For more details about the `image-text-to-text` task, check out its [dedicated page](https://huggingface.co/tasks/image-text-to-text)! You will find examples and related materials. + + +For more details about the `image-text-to-text` task, check out its [dedicated page](https://huggingface.co/tasks/image-text-to-text)! You will find examples and related materials. + + ### Recommended models @@ -30,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/ diff --git a/docs/inference-providers/tasks/image-to-image.md b/docs/inference-providers/tasks/image-to-image.md index 4515d9d16..392614205 100644 --- a/docs/inference-providers/tasks/image-to-image.md +++ b/docs/inference-providers/tasks/image-to-image.md @@ -21,8 +21,11 @@ Example applications: * Colorizing a black and white image * Increasing the resolution of an image -> [!TIP] -> For more details about the `image-to-image` task, check out its [dedicated page](https://huggingface.co/tasks/image-to-image)! You will find examples and related materials. + + +For more details about the `image-to-image` task, check out its [dedicated page](https://huggingface.co/tasks/image-to-image)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/object-detection.md b/docs/inference-providers/tasks/object-detection.md index d484cb1df..3c36c4081 100644 --- a/docs/inference-providers/tasks/object-detection.md +++ b/docs/inference-providers/tasks/object-detection.md @@ -16,8 +16,11 @@ For more details, check out: Object Detection models allow users to identify objects of certain defined classes. These models receive an image as input and output the images with bounding boxes and labels on detected objects. -> [!TIP] -> For more details about the `object-detection` task, check out its [dedicated page](https://huggingface.co/tasks/object-detection)! You will find examples and related materials. + + +For more details about the `object-detection` task, check out its [dedicated page](https://huggingface.co/tasks/object-detection)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md index 2f4a4a436..2f1330014 100644 --- a/docs/inference-providers/tasks/question-answering.md +++ b/docs/inference-providers/tasks/question-answering.md @@ -16,8 +16,11 @@ For more details, check out: Question Answering models can retrieve the answer to a question from a given text, which is useful for searching for an answer in a document. -> [!TIP] -> For more details about the `question-answering` task, check out its [dedicated page](https://huggingface.co/tasks/question-answering)! You will find examples and related materials. + + +For more details about the `question-answering` task, check out its [dedicated page](https://huggingface.co/tasks/question-answering)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/summarization.md b/docs/inference-providers/tasks/summarization.md index 114956850..6d3994406 100644 --- a/docs/inference-providers/tasks/summarization.md +++ b/docs/inference-providers/tasks/summarization.md @@ -16,8 +16,11 @@ For more details, check out: Summarization is the task of producing a shorter version of a document while preserving its important information. Some models can extract text from the original input, while other models can generate entirely new text. -> [!TIP] -> For more details about the `summarization` task, check out its [dedicated page](https://huggingface.co/tasks/summarization)! You will find examples and related materials. + + +For more details about the `summarization` task, check out its [dedicated page](https://huggingface.co/tasks/summarization)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/table-question-answering.md b/docs/inference-providers/tasks/table-question-answering.md index 4834bc808..358287c69 100644 --- a/docs/inference-providers/tasks/table-question-answering.md +++ b/docs/inference-providers/tasks/table-question-answering.md @@ -16,8 +16,11 @@ For more details, check out: Table Question Answering (Table QA) is the answering a question about an information on a given table. -> [!TIP] -> For more details about the `table-question-answering` task, check out its [dedicated page](https://huggingface.co/tasks/table-question-answering)! You will find examples and related materials. + + +For more details about the `table-question-answering` task, check out its [dedicated page](https://huggingface.co/tasks/table-question-answering)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md index 5274c67ab..db519fb91 100644 --- a/docs/inference-providers/tasks/text-classification.md +++ b/docs/inference-providers/tasks/text-classification.md @@ -16,13 +16,19 @@ For more details, check out: Text Classification is the task of assigning a label or class to a given text. Some use cases are sentiment analysis, natural language inference, and assessing grammatical correctness. -> [!TIP] -> For more details about the `text-classification` task, check out its [dedicated page](https://huggingface.co/tasks/text-classification)! You will find examples and related materials. + + +For more details about the `text-classification` task, check out its [dedicated page](https://huggingface.co/tasks/text-classification)! You will find examples and related materials. + + ### Recommended models - [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english): A robust model trained for sentiment analysis. - [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert): A sentiment analysis model specialized in financial sentiment. +- [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest): A sentiment analysis model specialized in analyzing tweets. +- [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection): A model that can classify languages. +- [meta-llama/Prompt-Guard-86M](https://huggingface.co/meta-llama/Prompt-Guard-86M): A model that can classify text generation attacks. Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-classification&sort=trending). diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md index f929e1cb0..3cf64a02b 100644 --- a/docs/inference-providers/tasks/text-generation.md +++ b/docs/inference-providers/tasks/text-generation.md @@ -18,8 +18,11 @@ Generate text based on a prompt. If you are interested in a Chat Completion task, which generates a response based on a list of messages, check out the [`chat-completion`](./chat_completion) task. -> [!TIP] -> For more details about the `text-generation` task, check out its [dedicated page](https://huggingface.co/tasks/text-generation)! You will find examples and related materials. + + +For more details about the `text-generation` task, check out its [dedicated page](https://huggingface.co/tasks/text-generation)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/text-to-image.md b/docs/inference-providers/tasks/text-to-image.md index 2b485f7b7..08eaa0b37 100644 --- a/docs/inference-providers/tasks/text-to-image.md +++ b/docs/inference-providers/tasks/text-to-image.md @@ -16,8 +16,11 @@ For more details, check out: Generate an image based on a given text prompt. -> [!TIP] -> For more details about the `text-to-image` task, check out its [dedicated page](https://huggingface.co/tasks/text-to-image)! You will find examples and related materials. + + +For more details about the `text-to-image` task, check out its [dedicated page](https://huggingface.co/tasks/text-to-image)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/text-to-video.md b/docs/inference-providers/tasks/text-to-video.md index 3b17a8e57..9d8625958 100644 --- a/docs/inference-providers/tasks/text-to-video.md +++ b/docs/inference-providers/tasks/text-to-video.md @@ -16,8 +16,11 @@ For more details, check out: Generate an video based on a given text prompt. -> [!TIP] -> For more details about the `text-to-video` task, check out its [dedicated page](https://huggingface.co/tasks/text-to-video)! You will find examples and related materials. + + +For more details about the `text-to-video` task, check out its [dedicated page](https://huggingface.co/tasks/text-to-video)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/token-classification.md b/docs/inference-providers/tasks/token-classification.md index 5bbcfb447..3636602eb 100644 --- a/docs/inference-providers/tasks/token-classification.md +++ b/docs/inference-providers/tasks/token-classification.md @@ -16,8 +16,11 @@ For more details, check out: Token classification is a task in which a label is assigned to some tokens in a text. Some popular token classification subtasks are Named Entity Recognition (NER) and Part-of-Speech (PoS) tagging. -> [!TIP] -> For more details about the `token-classification` task, check out its [dedicated page](https://huggingface.co/tasks/token-classification)! You will find examples and related materials. + + +For more details about the `token-classification` task, check out its [dedicated page](https://huggingface.co/tasks/token-classification)! You will find examples and related materials. + + ### Recommended models diff --git a/docs/inference-providers/tasks/translation.md b/docs/inference-providers/tasks/translation.md index 94ecc0e5c..6366a4807 100644 --- a/docs/inference-providers/tasks/translation.md +++ b/docs/inference-providers/tasks/translation.md @@ -16,12 +16,14 @@ For more details, check out: Translation is the task of converting text from one language to another. -> [!TIP] -> For more details about the `translation` task, check out its [dedicated page](https://huggingface.co/tasks/translation)! You will find examples and related materials. + + +For more details about the `translation` task, check out its [dedicated page](https://huggingface.co/tasks/translation)! You will find examples and related materials. + + ### Recommended models -- [google-t5/t5-base](https://huggingface.co/google-t5/t5-base): A general-purpose Transformer that can be used to translate from English to German, French, or Romanian. Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=translation&sort=trending). diff --git a/docs/inference-providers/tasks/zero-shot-classification.md b/docs/inference-providers/tasks/zero-shot-classification.md index 08851fdf1..6a9f4768a 100644 --- a/docs/inference-providers/tasks/zero-shot-classification.md +++ b/docs/inference-providers/tasks/zero-shot-classification.md @@ -16,8 +16,11 @@ For more details, check out: Zero-shot text classification is super useful to try out classification with zero code, you simply pass a sentence/paragraph and the possible labels for that sentence, and you get a result. The model has not been necessarily trained on the labels you provide, but it can still predict the correct label. -> [!TIP] -> For more details about the `zero-shot-classification` task, check out its [dedicated page](https://huggingface.co/tasks/zero-shot-classification)! You will find examples and related materials. + + +For more details about the `zero-shot-classification` task, check out its [dedicated page](https://huggingface.co/tasks/zero-shot-classification)! You will find examples and related materials. + + ### Recommended models