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Update Inference Providers documentation (automated) (#1768)
Co-authored-by: Wauplin <[email protected]>
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docs/inference-providers/providers/hf-inference.md

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<InferenceSnippet
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pipeline=image-segmentation
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providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
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providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-101-panoptic","providerModelId":"facebook/detr-resnet-101-panoptic"} } }
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/>
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providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"} } }
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/>
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### Zero Shot Classification
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Find out more about Zero Shot Classification [here](../tasks/zero_shot_classification).
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<InferenceSnippet
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pipeline=zero-shot-classification
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providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
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/>
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docs/inference-providers/providers/sambanova.md

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<InferenceSnippet
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pipeline=text-generation
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providersMapping={ {"sambanova":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"DeepSeek-R1"} } }
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providersMapping={ {"sambanova":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"DeepSeek-R1-0528"} } }
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conversational />
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docs/inference-providers/providers/together.md

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conversational />
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### Text Generation
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Find out more about Text Generation [here](../tasks/text_generation).
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<InferenceSnippet
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pipeline=text-generation
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providersMapping={ {"together":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1"} } }
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/>
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### Text To Image
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Find out more about Text To Image [here](../tasks/text_to_image).

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

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<InferenceSnippet
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pipeline=text-generation
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providersMapping={ {"cerebras":{"modelId":"Qwen/Qwen3-32B","providerModelId":"qwen-3-32b"},"cohere":{"modelId":"CohereLabs/c4ai-command-r-plus","providerModelId":"command-r-plus-04-2024"},"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"accounts/fireworks/models/deepseek-r1-0528"},"hf-inference":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1-0528"},"nebius":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1-0528"},"novita":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek/deepseek-r1-0528"},"nscale":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"sambanova":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"DeepSeek-R1"},"together":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1"}} }
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providersMapping={ {"cerebras":{"modelId":"Qwen/Qwen3-32B","providerModelId":"qwen-3-32b"},"cohere":{"modelId":"CohereLabs/c4ai-command-r-plus","providerModelId":"command-r-plus-04-2024"},"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"accounts/fireworks/models/deepseek-r1-0528"},"hf-inference":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1-0528"},"nebius":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1-0528"},"novita":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek/deepseek-r1-0528"},"nscale":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"sambanova":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"DeepSeek-R1-0528"},"together":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1"}} }
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conversational />
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docs/inference-providers/tasks/image-segmentation.md

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### Recommended models
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- [openmmlab/upernet-convnext-small](https://huggingface.co/openmmlab/upernet-convnext-small): Solid semantic segmentation model trained on ADE20k.
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- [facebook/mask2former-swin-large-coco-panoptic](https://huggingface.co/facebook/mask2former-swin-large-coco-panoptic): Panoptic segmentation model trained on the COCO (common objects) dataset.
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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=image-segmentation&sort=trending).
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<InferenceSnippet
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pipeline=image-segmentation
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providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"}} }
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providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-101-panoptic","providerModelId":"facebook/detr-resnet-101-panoptic"}} }
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docs/inference-providers/tasks/table-question-answering.md

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### Recommended models
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- [microsoft/tapex-base](https://huggingface.co/microsoft/tapex-base): A table question answering model that is capable of neural SQL execution, i.e., employ TAPEX to execute a SQL query on a given table.
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- [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq): A robust table question answering model.
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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=table-question-answering&sort=trending).

docs/inference-providers/tasks/text-generation.md

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<InferenceSnippet
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pipeline=text-generation
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providersMapping={ {"hf-inference":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"together":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1"}} }
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providersMapping={ {"hf-inference":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"}} }
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docs/inference-providers/tasks/zero-shot-classification.md

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### Recommended models
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- [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli): Powerful zero-shot text classification model.
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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=zero-shot-classification&sort=trending).
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### Using the API
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<InferenceSnippet
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pipeline=zero-shot-classification
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providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
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/>
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There are currently no snippet examples for the **zero-shot-classification** task, as no providers support it yet.
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scripts/inference-providers/package.json

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"author": "",
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"license": "ISC",
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"dependencies": {
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"@huggingface/inference": "^4.0.0",
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"@huggingface/inference": "^4.0.2",
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"@huggingface/tasks": "^0.19.11",
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"@types/node": "^22.5.0",
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"handlebars": "^4.7.8",

scripts/inference-providers/pnpm-lock.yaml

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