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Update Inference Providers documentation (automated)
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docs/inference-providers/providers/hf-inference.md

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@@ -79,6 +79,16 @@ Find out more about Feature Extraction [here](../tasks/feature_extraction).
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/>
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### Fill Mask
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Find out more about Fill Mask [here](../tasks/fill_mask).
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<InferenceSnippet
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pipeline=fill-mask
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providersMapping={ {"hf-inference":{"modelId":"FacebookAI/roberta-base","providerModelId":"FacebookAI/roberta-base"} } }
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/>
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### Image Classification
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Find out more about Image Classification [here](../tasks/image_classification).
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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=question-answering
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providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"} } }
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providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-large-squad2","providerModelId":"deepset/roberta-large-squad2"} } }
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<InferenceSnippet
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pipeline=text-classification
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providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"} } }
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providersMapping={ {"hf-inference":{"modelId":"SamLowe/roberta-base-go_emotions","providerModelId":"SamLowe/roberta-base-go_emotions"} } }
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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).
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<InferenceSnippet
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pipeline=translation
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providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"} } }
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providersMapping={ {"hf-inference":{"modelId":"facebook/mbart-large-50-many-to-many-mmt","providerModelId":"facebook/mbart-large-50-many-to-many-mmt"} } }
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/>
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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/fill-mask.md

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### Using the API
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No snippet available for this task.
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<InferenceSnippet
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pipeline=fill-mask
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providersMapping={ {"hf-inference":{"modelId":"FacebookAI/roberta-base","providerModelId":"FacebookAI/roberta-base"}} }
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/>
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docs/inference-providers/tasks/image-segmentation.md

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### Using the API
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No snippet available for this task.
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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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docs/inference-providers/tasks/question-answering.md

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<InferenceSnippet
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pipeline=question-answering
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providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"}} }
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providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-large-squad2","providerModelId":"deepset/roberta-large-squad2"}} }
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docs/inference-providers/tasks/text-classification.md

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### Recommended models
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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":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"}} }
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providersMapping={ {"hf-inference":{"modelId":"SamLowe/roberta-base-go_emotions","providerModelId":"SamLowe/roberta-base-go_emotions"}} }
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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/text-to-image.md

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### Recommended models
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- [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev): One of the most powerful image generation models that can generate realistic outputs.
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- [latent-consistency/lcm-lora-sdxl](https://huggingface.co/latent-consistency/lcm-lora-sdxl): A powerful yet fast image generation model.
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- [Kwai-Kolors/Kolors](https://huggingface.co/Kwai-Kolors/Kolors): Text-to-image model for photorealistic generation.
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- [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers): A powerful text-to-image model.
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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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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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### Using the API
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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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docs/inference-providers/tasks/translation.md

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<InferenceSnippet
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pipeline=translation
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providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"}} }
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providersMapping={ {"hf-inference":{"modelId":"facebook/mbart-large-50-many-to-many-mmt","providerModelId":"facebook/mbart-large-50-many-to-many-mmt"}} }
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