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Copy file name to clipboardExpand all lines: docs/inference-providers/tasks/audio-classification.md
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### Recommended models
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-[ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition](https://huggingface.co/ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition): An emotion recognition 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=audio-classification&sort=trending).
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### Using the API
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There are currently no snippet examples for the **audio-classification** task, as no providers support it yet.
|** name**|_string_| Optional name identifier for the schema |
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|** schema***|_unknown_| The actual JSON schema definition |
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|**seed**|_integer_||
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|**stop**|_string[]_| Up to 4 sequences where the API will stop generating further tokens. |
Copy file name to clipboardExpand all lines: docs/inference-providers/tasks/feature-extraction.md
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### Recommended models
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-[thenlper/gte-large](https://huggingface.co/thenlper/gte-large): A powerful feature extraction model for natural language processing tasks.
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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=feature-extraction&sort=trending).
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Copy file name to clipboardExpand all lines: docs/inference-providers/tasks/image-classification.md
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### Recommended models
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-[google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224): A strong image classification model.
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-[facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224): A robust image 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=image-classification&sort=trending).
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### Using the API
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There are currently no snippet examples for the **image-classification** task, as no providers support it yet.
Copy file name to clipboardExpand all lines: 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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### Using the API
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There are currently no snippet examples for the **image-segmentation** task, as no providers support it yet.
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