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docs/inference-providers/providers/hf-inference.md

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@@ -75,7 +75,7 @@ Find out more about Feature Extraction [here](../tasks/feature_extraction).
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<InferenceSnippet
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pipeline=feature-extraction
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providersMapping={ {"hf-inference":{"modelId":"mixedbread-ai/mxbai-embed-large-v1","providerModelId":"mixedbread-ai/mxbai-embed-large-v1"} } }
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providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"} } }
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/>
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### Image Segmentation
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Find out more about Image Segmentation [here](../tasks/image_segmentation).
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<InferenceSnippet
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pipeline=image-segmentation
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providersMapping={ {"hf-inference":{"modelId":"jonathandinu/face-parsing","providerModelId":"jonathandinu/face-parsing"} } }
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/>
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### Object Detection
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Find out more about Object Detection [here](../tasks/object_detection).
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<InferenceSnippet
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pipeline=text-classification
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providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english","providerModelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english"} } }
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providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"} } }
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/>
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### Token Classification
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Find out more about Token Classification [here](../tasks/token_classification).
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<InferenceSnippet
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pipeline=token-classification
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providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
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/>
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### Translation
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Find out more about Translation [here](../tasks/translation).

docs/inference-providers/tasks/chat-completion.md

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#### Conversational Large Language Models (LLMs)
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- [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
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- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
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- [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
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- [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
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- [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.

docs/inference-providers/tasks/feature-extraction.md

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<InferenceSnippet
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pipeline=feature-extraction
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providersMapping={ {"hf-inference":{"modelId":"mixedbread-ai/mxbai-embed-large-v1","providerModelId":"mixedbread-ai/mxbai-embed-large-v1"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
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providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
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docs/inference-providers/tasks/image-segmentation.md

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### Using the API
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<InferenceSnippet
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pipeline=image-segmentation
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providersMapping={ {"hf-inference":{"modelId":"jonathandinu/face-parsing","providerModelId":"jonathandinu/face-parsing"}} }
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/>
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No snippet available for this task.
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docs/inference-providers/tasks/text-classification.md

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### Recommended models
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- [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.
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- [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert): A sentiment analysis model specialized in financial sentiment.
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- [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest): A sentiment analysis model specialized in analyzing tweets.
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- [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection): A model that can classify languages.
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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).
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<InferenceSnippet
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pipeline=text-classification
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providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english","providerModelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english"}} }
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providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"}} }
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docs/inference-providers/tasks/text-generation.md

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### Recommended models
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- [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
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- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
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- [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
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- [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
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- [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.

docs/inference-providers/tasks/token-classification.md

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### Recommended models
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- [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER): A robust performance model to identify people, locations, organizations and names of miscellaneous entities.
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- [blaze999/Medical-NER](https://huggingface.co/blaze999/Medical-NER): A token classification model specialized on medical entity recognition.
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Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=token-classification&sort=trending).
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No snippet available for this task.
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<InferenceSnippet
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pipeline=token-classification
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providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"}} }
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/>
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