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Sep 25, 2025
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Update Inference Providers templates to use markdown blockquotes #1955

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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/cerebras.md
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# Cerebras

<Tip>

All supported Cerebras models can be found [here](https://huggingface.co/models?inference_provider=cerebras&sort=trending)

</Tip>
> [!TIP]
> All supported Cerebras models can be found [here](https://huggingface.co/models?inference_provider=cerebras&sort=trending)

<div class="flex justify-center">
<a href="https://www.cerebras.ai/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/cohere.md
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# Cohere

<Tip>

All supported Cohere models can be found [here](https://huggingface.co/models?inference_provider=cohere&sort=trending)

</Tip>
> [!TIP]
> All supported Cohere models can be found [here](https://huggingface.co/models?inference_provider=cohere&sort=trending)

<div class="flex justify-center">
<a href="https://cohere.com/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/fal-ai.md
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# Fal

<Tip>

All supported Fal models can be found [here](https://huggingface.co/models?inference_provider=fal-ai&sort=trending)

</Tip>
> [!TIP]
> All supported Fal models can be found [here](https://huggingface.co/models?inference_provider=fal-ai&sort=trending)

<div class="flex justify-center">
<a href="https://fal.ai/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/featherless-ai.md
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# Featherless AI

<Tip>

All supported Featherless AI models can be found [here](https://huggingface.co/models?inference_provider=featherless-ai&sort=trending)

</Tip>
> [!TIP]
> All supported Featherless AI models can be found [here](https://huggingface.co/models?inference_provider=featherless-ai&sort=trending)

<div class="flex justify-center">
<a href="https://featherless.ai/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/fireworks-ai.md
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# Fireworks AI

<Tip>

All supported Fireworks AI models can be found [here](https://huggingface.co/models?inference_provider=fireworks-ai&sort=trending)

</Tip>
> [!TIP]
> All supported Fireworks AI models can be found [here](https://huggingface.co/models?inference_provider=fireworks-ai&sort=trending)

<div class="flex justify-center">
<a href="https://fireworks.ai/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/groq.md
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# Groq

<Tip>

All supported Groq models can be found [here](https://huggingface.co/models?inference_provider=groq&sort=trending)

</Tip>
> [!TIP]
> All supported Groq models can be found [here](https://huggingface.co/models?inference_provider=groq&sort=trending)

<div class="flex justify-center">
<a href="https://groq.com/" target="_blank">
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9 changes: 3 additions & 6 deletions docs/inference-providers/providers/hf-inference.md
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# HF Inference

<Tip>

All supported HF Inference models can be found [here](https://huggingface.co/models?inference_provider=hf-inference&sort=trending)

</Tip>
> [!TIP]
> All supported HF Inference models can be found [here](https://huggingface.co/models?inference_provider=hf-inference&sort=trending)

<div class="flex justify-center">
<a href="https://huggingface.co/" target="_blank">
Expand Down Expand Up @@ -73,7 +70,7 @@ Find out more about Feature Extraction [here](../tasks/feature_extraction).

<InferenceSnippet
pipeline=feature-extraction
providersMapping={ {"hf-inference":{"modelId":"BAAI/bge-large-en-v1.5","providerModelId":"BAAI/bge-large-en-v1.5"} } }
providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"} } }
/>


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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/hyperbolic.md
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# Hyperbolic: The On-Demand AI Cloud

<Tip>

All supported Hyperbolic models can be found [here](https://huggingface.co/models?inference_provider=hyperbolic&sort=trending)

</Tip>
> [!TIP]
> All supported Hyperbolic models can be found [here](https://huggingface.co/models?inference_provider=hyperbolic&sort=trending)

<div class="flex justify-center">
<a href="https://hyperbolic.xyz/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/nebius.md
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# Nebius

<Tip>

All supported Nebius models can be found [here](https://huggingface.co/models?inference_provider=nebius&sort=trending)

</Tip>
> [!TIP]
> All supported Nebius models can be found [here](https://huggingface.co/models?inference_provider=nebius&sort=trending)

<div class="flex justify-center">
<a href="https://nebius.com/" target="_blank">
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9 changes: 3 additions & 6 deletions docs/inference-providers/providers/novita.md
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# Novita

<Tip>

All supported Novita models can be found [here](https://huggingface.co/models?inference_provider=novita&sort=trending)

</Tip>
> [!TIP]
> All supported Novita models can be found [here](https://huggingface.co/models?inference_provider=novita&sort=trending)

<div class="flex justify-center">
<a href="https://novita.ai/" target="_blank">
Expand Down Expand Up @@ -52,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).

<InferenceSnippet
pipeline=text-generation
providersMapping={ {"novita":{"modelId":"baidu/ERNIE-4.5-21B-A3B-Thinking","providerModelId":"baidu/ernie-4.5-21B-a3b-thingking"} } }
providersMapping={ {"novita":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"qwen/qwen3-next-80b-a3b-instruct"} } }
conversational />


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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/nscale.md
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# Nscale

<Tip>

All supported Nscale models can be found [here](https://huggingface.co/models?inference_provider=nscale&sort=trending)

</Tip>
> [!TIP]
> All supported Nscale models can be found [here](https://huggingface.co/models?inference_provider=nscale&sort=trending)

<div class="flex justify-center">
<a href="https://www.nscale.com/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/publicai.md
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# PublicAI

<Tip>

All models supported by the PublicAI Inference Utility can be found [here](https://huggingface.co/models?inference_provider=publicai&sort=trending)

</Tip>
> [!TIP]
> All models supported by the PublicAI Inference Utility can be found [here](https://huggingface.co/models?inference_provider=publicai&sort=trending)

<div class="flex justify-center">
<a href="https://publicai.co/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/replicate.md
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# Replicate

<Tip>

All supported Replicate models can be found [here](https://huggingface.co/models?inference_provider=replicate&sort=trending)

</Tip>
> [!TIP]
> All supported Replicate models can be found [here](https://huggingface.co/models?inference_provider=replicate&sort=trending)

<div class="flex justify-center">
<a href="https://replicate.com/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/sambanova.md
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# SambaNova

<Tip>

All supported SambaNova models can be found [here](https://huggingface.co/models?inference_provider=sambanova&sort=trending)

</Tip>
> [!TIP]
> All supported SambaNova models can be found [here](https://huggingface.co/models?inference_provider=sambanova&sort=trending)

<div class="flex justify-center">
<a href="https://sambanova.ai/" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/scaleway.md
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# Scaleway

<Tip>

All supported Scaleway models can be found [here](https://huggingface.co/models?inference_provider=scaleway&sort=trending)

</Tip>
> [!TIP]
> All supported Scaleway models can be found [here](https://huggingface.co/models?inference_provider=scaleway&sort=trending)

<div class="flex justify-center">
<a href="https://www.scaleway.com" target="_blank">
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7 changes: 2 additions & 5 deletions docs/inference-providers/providers/together.md
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# Together

<Tip>

All supported Together models can be found [here](https://huggingface.co/models?inference_provider=together&sort=trending)

</Tip>
> [!TIP]
> All supported Together models can be found [here](https://huggingface.co/models?inference_provider=together&sort=trending)

<div class="flex justify-center">
<a href="https://together.xyz/" target="_blank">
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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/audio-classification.md
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Expand Up @@ -21,11 +21,9 @@ Example applications:
* Identifying a speaker
* Detecting the genre of a song

<Tip>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/automatic-speech-recognition.md
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Expand Up @@ -21,11 +21,9 @@ Example applications:
* Building a voice assistant
* Generating subtitles for a video

<Tip>
> [!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.

</Tip>

### Recommended models

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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/chat-completion.md
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<InferenceSnippet
pipeline=text-generation
providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-translate-08-2025","providerModelId":"command-a-translate-08-2025"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"},"groq":{"modelId":"moonshotai/Kimi-K2-Instruct-0905","providerModelId":"moonshotai/kimi-k2-instruct-0905"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"baidu/ERNIE-4.5-21B-A3B-Thinking","providerModelId":"baidu/ernie-4.5-21B-a3b-thingking"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"scaleway":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"together":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"}} }
providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-translate-08-2025","providerModelId":"command-a-translate-08-2025"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"},"groq":{"modelId":"moonshotai/Kimi-K2-Instruct-0905","providerModelId":"moonshotai/kimi-k2-instruct-0905"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"qwen/qwen3-next-80b-a3b-instruct"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"scaleway":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"together":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"}} }
conversational />


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8 changes: 3 additions & 5 deletions docs/inference-providers/tasks/feature-extraction.md
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Expand Up @@ -21,11 +21,9 @@ Example applications:
* Reranking a list of documents based on their similarity to a query.
* Calculating the similarity between two sentences.

<Tip>
> [!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.

</Tip>

### Recommended models

Expand All @@ -38,7 +36,7 @@ Explore all available models and find the one that suits you best [here](https:/

<InferenceSnippet
pipeline=feature-extraction
providersMapping={ {"hf-inference":{"modelId":"BAAI/bge-large-en-v1.5","providerModelId":"BAAI/bge-large-en-v1.5"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"},"scaleway":{"modelId":"BAAI/bge-multilingual-gemma2","providerModelId":"bge-multilingual-gemma2"}} }
providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"},"scaleway":{"modelId":"BAAI/bge-multilingual-gemma2","providerModelId":"bge-multilingual-gemma2"}} }
/>


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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/fill-mask.md
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Mask filling is the task of predicting the right word (token to be precise) in the middle of a sequence.

<Tip>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/image-classification.md
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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>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/image-segmentation.md
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Image Segmentation divides an image into segments where each pixel in the image is mapped to an object.

<Tip>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/image-text-to-text.md
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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>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/image-to-image.md
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Expand Up @@ -21,11 +21,9 @@ Example applications:
* Colorizing a black and white image
* Increasing the resolution of an image

<Tip>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/object-detection.md
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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>
> [!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.

</Tip>

### Recommended models

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6 changes: 2 additions & 4 deletions docs/inference-providers/tasks/question-answering.md
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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>
> [!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.

</Tip>

### Recommended models

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