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Update Inference Providers documentation (automated) (#1909)
Co-authored-by: Wauplin <[email protected]>
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docs/inference-providers/providers/fal-ai.md

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@@ -60,7 +60,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
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<InferenceSnippet
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pipeline=image-to-image
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providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"} } }
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providersMapping={ {"fal-ai":{"modelId":"thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA","providerModelId":"fal-ai/flux-kontext-lora"} } }
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/>
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docs/inference-providers/providers/hf-inference.md

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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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providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"} } }
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/>
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<InferenceSnippet
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pipeline=zero-shot-classification
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providersMapping={ {"hf-inference":{"modelId":"knowledgator/comprehend_it-base","providerModelId":"knowledgator/comprehend_it-base"} } }
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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/replicate.md

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@@ -50,7 +50,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
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<InferenceSnippet
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pipeline=image-to-image
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providersMapping={ {"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"} } }
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providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"} } }
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/>
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docs/inference-providers/tasks/fill-mask.md

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### Recommended models
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- [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base): A multilingual model trained on 100 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=fill-mask&sort=trending).
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docs/inference-providers/tasks/image-segmentation.md

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### Recommended models
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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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docs/inference-providers/tasks/image-to-image.md

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<InferenceSnippet
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pipeline=image-to-image
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providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"},"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"}} }
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providersMapping={ {"fal-ai":{"modelId":"thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA","providerModelId":"fal-ai/flux-kontext-lora"},"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"}} }
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docs/inference-providers/tasks/token-classification.md

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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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- [FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english): A strong model to identify people, locations, organizations and names in multiple languages.
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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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<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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providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"}} }
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/>
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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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<InferenceSnippet
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pipeline=zero-shot-classification
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providersMapping={ {"hf-inference":{"modelId":"knowledgator/comprehend_it-base","providerModelId":"knowledgator/comprehend_it-base"}} }
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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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scripts/inference-providers/package.json

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"license": "ISC",
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"dependencies": {
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"@huggingface/inference": "^4.7.1",
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"@huggingface/tasks": "^0.19.43",
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"@huggingface/tasks": "^0.19.44",
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"@types/node": "^22.5.0",
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"handlebars": "^4.7.8",
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"node": "^20.17.0",

scripts/inference-providers/pnpm-lock.yaml

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