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Sep 25, 2025
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[Bot] Update Inference Providers documentation #1953

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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/cerebras.md
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# Cerebras

> [!TIP]
> All supported Cerebras models can be found [here](https://huggingface.co/models?inference_provider=cerebras&sort=trending)
<Tip>

All supported Cerebras models can be found [here](https://huggingface.co/models?inference_provider=cerebras&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://www.cerebras.ai/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/cohere.md
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# Cohere

> [!TIP]
> All supported Cohere models can be found [here](https://huggingface.co/models?inference_provider=cohere&sort=trending)
<Tip>

All supported Cohere models can be found [here](https://huggingface.co/models?inference_provider=cohere&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://cohere.com/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/fal-ai.md
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# Fal

> [!TIP]
> All supported Fal models can be found [here](https://huggingface.co/models?inference_provider=fal-ai&sort=trending)
<Tip>

All supported Fal models can be found [here](https://huggingface.co/models?inference_provider=fal-ai&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://fal.ai/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/featherless-ai.md
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# Featherless AI

> [!TIP]
> All supported Featherless AI models can be found [here](https://huggingface.co/models?inference_provider=featherless-ai&sort=trending)
<Tip>

All supported Featherless AI models can be found [here](https://huggingface.co/models?inference_provider=featherless-ai&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://featherless.ai/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/fireworks-ai.md
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# Fireworks AI

> [!TIP]
> All supported Fireworks AI models can be found [here](https://huggingface.co/models?inference_provider=fireworks-ai&sort=trending)
<Tip>

All supported Fireworks AI models can be found [here](https://huggingface.co/models?inference_provider=fireworks-ai&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://fireworks.ai/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/groq.md
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# Groq

> [!TIP]
> All supported Groq models can be found [here](https://huggingface.co/models?inference_provider=groq&sort=trending)
<Tip>

All supported Groq models can be found [here](https://huggingface.co/models?inference_provider=groq&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://groq.com/" target="_blank">
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11 changes: 7 additions & 4 deletions docs/inference-providers/providers/hf-inference.md
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# HF Inference

> [!TIP]
> All supported HF Inference models can be found [here](https://huggingface.co/models?inference_provider=hf-inference&sort=trending)
<Tip>

All supported HF Inference models can be found [here](https://huggingface.co/models?inference_provider=hf-inference&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://huggingface.co/" target="_blank">
Expand Down Expand Up @@ -70,7 +73,7 @@ Find out more about Feature Extraction [here](../tasks/feature_extraction).

<InferenceSnippet
pipeline=feature-extraction
providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"} } }
providersMapping={ {"hf-inference":{"modelId":"BAAI/bge-large-en-v1.5","providerModelId":"BAAI/bge-large-en-v1.5"} } }
/>


Expand All @@ -80,7 +83,7 @@ Find out more about Fill Mask [here](../tasks/fill_mask).

<InferenceSnippet
pipeline=fill-mask
providersMapping={ {"hf-inference":{"modelId":"jhu-clsp/mmBERT-small","providerModelId":"jhu-clsp/mmBERT-small"} } }
providersMapping={ {"hf-inference":{"modelId":"jhu-clsp/mmBERT-base","providerModelId":"jhu-clsp/mmBERT-base"} } }
/>


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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/hyperbolic.md
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# Hyperbolic: The On-Demand AI Cloud

> [!TIP]
> All supported Hyperbolic models can be found [here](https://huggingface.co/models?inference_provider=hyperbolic&sort=trending)
<Tip>

All supported Hyperbolic models can be found [here](https://huggingface.co/models?inference_provider=hyperbolic&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://hyperbolic.xyz/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/nebius.md
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# Nebius

> [!TIP]
> All supported Nebius models can be found [here](https://huggingface.co/models?inference_provider=nebius&sort=trending)
<Tip>

All supported Nebius models can be found [here](https://huggingface.co/models?inference_provider=nebius&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://nebius.com/" target="_blank">
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9 changes: 6 additions & 3 deletions docs/inference-providers/providers/novita.md
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# Novita

> [!TIP]
> All supported Novita models can be found [here](https://huggingface.co/models?inference_provider=novita&sort=trending)
<Tip>

All supported Novita models can be found [here](https://huggingface.co/models?inference_provider=novita&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://novita.ai/" target="_blank">
Expand Down Expand Up @@ -59,7 +62,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).

<InferenceSnippet
pipeline=image-text-to-text
providersMapping={ {"novita":{"modelId":"zai-org/GLM-4.5V","providerModelId":"zai-org/glm-4.5v"} } }
providersMapping={ {"novita":{"modelId":"Qwen/Qwen3-VL-235B-A22B-Thinking","providerModelId":"qwen/qwen3-vl-235b-a22b-thinking"} } }
conversational />


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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/nscale.md
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# Nscale

> [!TIP]
> All supported Nscale models can be found [here](https://huggingface.co/models?inference_provider=nscale&sort=trending)
<Tip>

All supported Nscale models can be found [here](https://huggingface.co/models?inference_provider=nscale&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://www.nscale.com/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/publicai.md
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# PublicAI

> [!TIP]
> All models supported by the PublicAI Inference Utility can be found [here](https://huggingface.co/models?inference_provider=publicai&sort=trending)
<Tip>

All models supported by the PublicAI Inference Utility can be found [here](https://huggingface.co/models?inference_provider=publicai&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://publicai.co/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/replicate.md
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# Replicate

> [!TIP]
> All supported Replicate models can be found [here](https://huggingface.co/models?inference_provider=replicate&sort=trending)
<Tip>

All supported Replicate models can be found [here](https://huggingface.co/models?inference_provider=replicate&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://replicate.com/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/sambanova.md
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# SambaNova

> [!TIP]
> All supported SambaNova models can be found [here](https://huggingface.co/models?inference_provider=sambanova&sort=trending)
<Tip>

All supported SambaNova models can be found [here](https://huggingface.co/models?inference_provider=sambanova&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://sambanova.ai/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/scaleway.md
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# Scaleway

> [!TIP]
> All supported Scaleway models can be found [here](https://huggingface.co/models?inference_provider=scaleway&sort=trending)
<Tip>

All supported Scaleway models can be found [here](https://huggingface.co/models?inference_provider=scaleway&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://www.scaleway.com" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/providers/together.md
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# Together

> [!TIP]
> All supported Together models can be found [here](https://huggingface.co/models?inference_provider=together&sort=trending)
<Tip>

All supported Together models can be found [here](https://huggingface.co/models?inference_provider=together&sort=trending)

</Tip>

<div class="flex justify-center">
<a href="https://together.xyz/" target="_blank">
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7 changes: 5 additions & 2 deletions docs/inference-providers/tasks/audio-classification.md
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Expand Up @@ -21,8 +21,11 @@ Example applications:
* Identifying a speaker
* Detecting the genre of a song

> [!TIP]
> For more details about the `audio-classification` task, check out its [dedicated page](https://huggingface.co/tasks/audio-classification)! You will find examples and related materials.
<Tip>

For more details about the `audio-classification` task, check out its [dedicated page](https://huggingface.co/tasks/audio-classification)! You will find examples and related materials.

</Tip>

### Recommended models

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7 changes: 5 additions & 2 deletions docs/inference-providers/tasks/automatic-speech-recognition.md
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Expand Up @@ -21,8 +21,11 @@ Example applications:
* Building a voice assistant
* Generating subtitles for a video

> [!TIP]
> For more details about the `automatic-speech-recognition` task, check out its [dedicated page](https://huggingface.co/tasks/automatic-speech-recognition)! You will find examples and related materials.
<Tip>

For more details about the `automatic-speech-recognition` task, check out its [dedicated page](https://huggingface.co/tasks/automatic-speech-recognition)! You will find examples and related materials.

</Tip>

### Recommended models

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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/chat-completion.md
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Expand Up @@ -74,7 +74,7 @@ conversational />

<InferenceSnippet
pipeline=image-text-to-text
providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"llama-4-scout-17b-16e-instruct"},"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"featherless-ai":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"nebius":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it-fast"},"novita":{"modelId":"zai-org/GLM-4.5V","providerModelId":"zai-org/glm-4.5v"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"},"scaleway":{"modelId":"google/gemma-3-27b-it","providerModelId":"gemma-3-27b-it"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"}} }
providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"llama-4-scout-17b-16e-instruct"},"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"featherless-ai":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"nebius":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it-fast"},"novita":{"modelId":"Qwen/Qwen3-VL-235B-A22B-Thinking","providerModelId":"qwen/qwen3-vl-235b-a22b-thinking"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"},"scaleway":{"modelId":"google/gemma-3-27b-it","providerModelId":"gemma-3-27b-it"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"}} }
conversational />


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9 changes: 6 additions & 3 deletions docs/inference-providers/tasks/feature-extraction.md
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Expand Up @@ -21,8 +21,11 @@ Example applications:
* Reranking a list of documents based on their similarity to a query.
* Calculating the similarity between two sentences.

> [!TIP]
> For more details about the `feature-extraction` task, check out its [dedicated page](https://huggingface.co/tasks/feature-extraction)! You will find examples and related materials.
<Tip>

For more details about the `feature-extraction` task, check out its [dedicated page](https://huggingface.co/tasks/feature-extraction)! You will find examples and related materials.

</Tip>

### Recommended models

Expand All @@ -35,7 +38,7 @@ Explore all available models and find the one that suits you best [here](https:/

<InferenceSnippet
pipeline=feature-extraction
providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"},"scaleway":{"modelId":"BAAI/bge-multilingual-gemma2","providerModelId":"bge-multilingual-gemma2"}} }
providersMapping={ {"hf-inference":{"modelId":"BAAI/bge-large-en-v1.5","providerModelId":"BAAI/bge-large-en-v1.5"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"},"scaleway":{"modelId":"BAAI/bge-multilingual-gemma2","providerModelId":"bge-multilingual-gemma2"}} }
/>


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9 changes: 6 additions & 3 deletions docs/inference-providers/tasks/fill-mask.md
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Mask filling is the task of predicting the right word (token to be precise) in the middle of a sequence.

> [!TIP]
> For more details about the `fill-mask` task, check out its [dedicated page](https://huggingface.co/tasks/fill-mask)! You will find examples and related materials.
<Tip>

For more details about the `fill-mask` task, check out its [dedicated page](https://huggingface.co/tasks/fill-mask)! You will find examples and related materials.

</Tip>

### Recommended models

Expand All @@ -30,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/

<InferenceSnippet
pipeline=fill-mask
providersMapping={ {"hf-inference":{"modelId":"jhu-clsp/mmBERT-small","providerModelId":"jhu-clsp/mmBERT-small"}} }
providersMapping={ {"hf-inference":{"modelId":"jhu-clsp/mmBERT-base","providerModelId":"jhu-clsp/mmBERT-base"}} }
/>


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7 changes: 5 additions & 2 deletions docs/inference-providers/tasks/image-classification.md
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Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image.

> [!TIP]
> For more details about the `image-classification` task, check out its [dedicated page](https://huggingface.co/tasks/image-classification)! You will find examples and related materials.
<Tip>

For more details about the `image-classification` task, check out its [dedicated page](https://huggingface.co/tasks/image-classification)! You will find examples and related materials.

</Tip>

### Recommended models

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7 changes: 5 additions & 2 deletions docs/inference-providers/tasks/image-segmentation.md
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Image Segmentation divides an image into segments where each pixel in the image is mapped to an object.

> [!TIP]
> For more details about the `image-segmentation` task, check out its [dedicated page](https://huggingface.co/tasks/image-segmentation)! You will find examples and related materials.
<Tip>

For more details about the `image-segmentation` task, check out its [dedicated page](https://huggingface.co/tasks/image-segmentation)! You will find examples and related materials.

</Tip>

### Recommended models

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