Add 1 page per provider + list table (#1674)

* Draft to list providers

* add logo

* fix _toctree

* logo

* fix links

* Semi-generated page for all providers

* consistency

* Add HF-Inference page

* Update scripts/inference-providers/templates/providers/fal-ai.handlebars

* Add badge to their Org page (will update the actual badge later)

* Final badge + generate

* make links clickable

---------

Co-authored-by: Julien Chaumond <[email protected]>

Author: Wauplin

docs/inference-providers/_toctree.yml

@@ -6,10 +6,33 @@
     title: Pricing and Billing
   - local: hub-integration
     title: Hub integration
-  - local: security
-    title: Security
   - local: register-as-a-provider
     title: Register as an Inference Provider
+  - local: security
+    title: Security
+
+- title: Providers
+  sections:
+  - local: providers/cerebras
+    title: Cerebras
+  - local: providers/fal-ai
+    title: Fal AI
+  - local: providers/fireworks-ai
+    title: Fireworks
+  - local: providers/hyperbolic
+    title: Hyperbolic
+  - local: providers/hf-inference
+    title: HF Inference
+  - local: providers/nebius
+    title: Nebius
+  - local: providers/novita
+    title: Novita
+  - local: providers/replicate
+    title: Replicate
+  - local: providers/sambanova
+    title: SambaNova
+  - local: providers/together
+    title: Together
 - title: API Reference
   sections:
   - local: tasks/index

docs/inference-providers/index.md

@@ -9,6 +9,23 @@ Hugging Face Inference Providers simplify and unify how developers access and ru
 
 To learn more about the launch of Inference Providers, check out our [announcement blog post](https://huggingface.co/blog/inference-providers).
 
+## Partners
+
+Here is the complete list of partners integrated with Inference Providers, and the supported tasks for each of them:
+
+| Provider                                 | Chat completion (LLM) | Chat completion (VLM) | Feature Extraction | Text to Image | Text to video |
+| ---------------------------------------- | :-------------------: | :-------------------: | :----------------: | :-----------: | :-----------: |
+| [Cerebras](./providers/cerebras)         |           ✅           |                       |                    |               |               |
+| [Fal AI](./providers/fal-ai)             |                       |                       |                    |       ✅       |       ✅       |
+| [Fireworks](./providers/fireworks-ai)    |           ✅           |           ✅           |                    |               |               |
+| [HF Inference](./providers/hf-inference) |           ✅           |           ✅           |         ✅          |       ✅       |               |
+| [Hyperbolic](./providers/hyperbolic)     |           ✅           |           ✅           |                    |               |               |
+| [Nebius](./providers/nebius)             |           ✅           |           ✅           |                    |       ✅       |               |
+| [Novita](./providers/novita)             |           ✅           |           ✅           |                    |               |       ✅       |
+| [Replicate](./providers/replicate)       |                       |                       |                    |       ✅       |       ✅       |
+| [SambaNova](./providers/sambanova)       |           ✅           |                       |         ✅          |               |               |
+| [Together](./providers/together)         |           ✅           |           ✅           |                    |       ✅       |               |
+
 ## Why use Inference Providers?
 
 Inference Providers offers a fast and simple way to explore thousands of models for a variety of tasks. Whether you're experimenting with ML capabilities or building a new application, this API gives you instant access to high-performing models across multiple domains:
@@ -28,7 +45,6 @@ Inference Providers offers a fast and simple way to explore thousands of models
 - **🔧 Developer-Friendly**: Simple requests, fast responses, and a consistent developer experience across Python and JavaScript clients.
 - **💰 Cost-Effective**: No extra markup on provider rates.
 
-
 ## Inference Playground
 
 To get started quickly with [Chat Completion models](http://huggingface.co/models?inference_provider=all&sort=trending&other=conversational), use the [Inference Playground](https://huggingface.co/playground) to easily test and compare models with your prompts.

docs/inference-providers/providers/cerebras.md

@@ -0,0 +1,30 @@
+<!---
+WARNING
+
+This markdown file has been generated from a script. Please do not edit it directly.
+
+If you want to update the content related to cerebras's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/cerebras.handlebars`.
+
+For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
+--->
+
+# Cerebras
+
+[![Cerebras Logo](https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Cerebras_logo.svg/512px-Cerebras_logo.svg.png)](https://www.cerebras.ai/)
+
+[![Follow us on Hugging Face](https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg)](https://huggingface.co/cerebras)
+
+Cerebras stands alone as the world’s fastest AI inference and training platform. Organizations across fields like medical research, cryptography, energy, and agentic AI use our CS-2 and CS-3 systems to build on-premise supercomputers, while developers and enterprises everywhere can access the power of Cerebras through our pay-as-you-go cloud offerings.
+
+## Supported tasks
+
+
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"llama-3.3-70b"} } }
+conversational />
+

docs/inference-providers/providers/fal-ai.md

@@ -0,0 +1,50 @@
+<!---
+WARNING
+
+This markdown file has been generated from a script. Please do not edit it directly.
+
+If you want to update the content related to fal-ai's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/fal-ai.handlebars`.
+
+For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
+--->
+
+# Fal
+
+[![fal.ai logo](https://images.seeklogo.com/logo-png/61/1/fal-ai-logo-png_seeklogo-611592.png)](https://fal.ai/)
+
+[![Follow us on Hugging Face](https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg)](https://huggingface.co/fal)
+
+Founded in 2021 by [Burkay Gur](https://huggingface.co/burkaygur) and [Gorkem Yurtseven](https://huggingface.co/gorkemyurt), fal.ai was born out of a shared passion for AI and a desire to address the challenges in AI infrastructure observed during their tenures at Coinbase and Amazon.
+
+## Supported tasks
+
+
+### Automatic Speech Recognition
+
+Find out more about Automatic Speech Recognition [here](../tasks/automatic_speech_recognition).
+
+<InferenceSnippet
+    pipeline=automatic-speech-recognition
+    providersMapping={ {"fal-ai":{"modelId":"openai/whisper-large-v3","providerModelId":"fal-ai/whisper"} } }
+/>
+
+
+### Text To Image
+
+Find out more about Text To Image [here](../tasks/text_to_image).
+
+<InferenceSnippet
+    pipeline=text-to-image
+    providersMapping={ {"fal-ai":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"fal-ai/flux/dev"} } }
+/>
+
+
+### Text To Video
+
+Find out more about Text To Video [here](../tasks/text_to_video).
+
+<InferenceSnippet
+    pipeline=text-to-video
+    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"fal-ai/wan-t2v"} } }
+/>
+

docs/inference-providers/providers/fireworks-ai.md

@@ -0,0 +1,39 @@
+<!---
+WARNING
+
+This markdown file has been generated from a script. Please do not edit it directly.
+
+If you want to update the content related to fireworks-ai's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/fireworks-ai.handlebars`.
+
+For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
+--->
+
+# Fireworks AI
+
+[![fireworks.ai](https://d1.awsstatic.com/fireworks-ai-wordmark-color-dark.93b1f27fdf77899fa02afb949fb27317ee4081ad.png)](https://fireworks.ai/)
+
+[![Follow us on Hugging Face](https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg)](https://huggingface.co/fireworks-ai)
+
+Fireworks AI is a developer-centric platform that delivers high-performance generative AI solutions, enabling efficient deployment and fine-tuning of large language models (LLMs) and image models.
+## Supported tasks
+
+
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-V3-0324","providerModelId":"accounts/fireworks/models/deepseek-v3-0324"} } }
+conversational />
+
+
+### Chat Completion (VLM)
+
+Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=image-text-to-text
+    providersMapping={ {"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"} } }
+conversational />
+

docs/inference-providers/providers/hf-inference.md

@@ -0,0 +1,201 @@
+<!---
+WARNING
+
+This markdown file has been generated from a script. Please do not edit it directly.
+
+If you want to update the content related to hf-inference's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/hf-inference.handlebars`.
+
+For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
+--->
+
+# HF Inference
+
+[![Hugging Face](https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo-with-title.png)](https://huggingface.co/)
+
+[![Follow us on Hugging Face](https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg)](https://huggingface.co/hf-inference)
+
+HF Inference is the serverless Inference API powered by Hugging Face. This service used to be called "Inference API (serverless)" prior to Inference Providers.
+If you are interested in deploying models to a dedicated and autoscaling infrastructure managed by Hugging Face, check out [Inference Endpoints](https://huggingface.co/docs/inference-endpoints/index) instead.
+
+## Supported tasks
+
+
+### Audio Classification
+
+Find out more about Audio Classification [here](../tasks/audio_classification).
+
+<InferenceSnippet
+    pipeline=audio-classification
+    providersMapping={ {"hf-inference":{"modelId":"ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition","providerModelId":"ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition"} } }
+/>
+
+
+### Automatic Speech Recognition
+
+Find out more about Automatic Speech Recognition [here](../tasks/automatic_speech_recognition).
+
+<InferenceSnippet
+    pipeline=automatic-speech-recognition
+    providersMapping={ {"hf-inference":{"modelId":"openai/whisper-large-v3-turbo","providerModelId":"openai/whisper-large-v3-turbo"} } }
+/>
+
+
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"hf-inference":{"modelId":"Qwen/QwQ-32B","providerModelId":"Qwen/QwQ-32B"} } }
+conversational />
+
+
+### Chat Completion (VLM)
+
+Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=image-text-to-text
+    providersMapping={ {"hf-inference":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"} } }
+conversational />
+
+
+### Feature Extraction
+
+Find out more about Feature Extraction [here](../tasks/feature_extraction).
+
+<InferenceSnippet
+    pipeline=feature-extraction
+    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"} } }
+/>
+
+
+### Fill Mask
+
+Find out more about Fill Mask [here](../tasks/fill_mask).
+
+<InferenceSnippet
+    pipeline=fill-mask
+    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-uncased","providerModelId":"google-bert/bert-base-uncased"} } }
+/>
+
+
+### Image Classification
+
+Find out more about Image Classification [here](../tasks/image_classification).
+
+<InferenceSnippet
+    pipeline=image-classification
+    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
+/>
+
+
+### Image To Image
+
+Find out more about Image To Image [here](../tasks/image_to_image).
+
+<InferenceSnippet
+    pipeline=image-to-image
+    providersMapping={ {"hf-inference":{"modelId":"enhanceaiteam/Flux-Uncensored-V2","providerModelId":"black-forest-labs/FLUX.1-dev"} } }
+/>
+
+
+### Object Detection
+
+Find out more about Object Detection [here](../tasks/object_detection).
+
+<InferenceSnippet
+    pipeline=object-detection
+    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"} } }
+/>
+
+
+### Question Answering
+
+Find out more about Question Answering [here](../tasks/question_answering).
+
+<InferenceSnippet
+    pipeline=question-answering
+    providersMapping={ {"hf-inference":{"modelId":"deepset/gelectra-large-germanquad","providerModelId":"deepset/gelectra-large-germanquad"} } }
+/>
+
+
+### Summarization
+
+Find out more about Summarization [here](../tasks/summarization).
+
+<InferenceSnippet
+    pipeline=summarization
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
+/>
+
+
+### Text Classification
+
+Find out more about Text Classification [here](../tasks/text_classification).
+
+<InferenceSnippet
+    pipeline=text-classification
+    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"} } }
+/>
+
+
+### Text Generation
+
+Find out more about Text Generation [here](../tasks/text_generation).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"hf-inference":{"modelId":"Qwen/QwQ-32B","providerModelId":"Qwen/QwQ-32B"} } }
+/>
+
+
+### Text To Image
+
+Find out more about Text To Image [here](../tasks/text_to_image).
+
+<InferenceSnippet
+    pipeline=text-to-image
+    providersMapping={ {"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"} } }
+/>
+
+
+### Text To Video
+
+Find out more about Text To Video [here](../tasks/text_to_video).
+
+<InferenceSnippet
+    pipeline=text-to-video
+    providersMapping={ {"hf-inference":{"modelId":"AdamLucek/Wan2.1-T2V-14B-OldBookIllustrations","providerModelId":"black-forest-labs/FLUX.1-dev"} } }
+/>
+
+
+### Token Classification
+
+Find out more about Token Classification [here](../tasks/token_classification).
+
+<InferenceSnippet
+    pipeline=token-classification
+    providersMapping={ {"hf-inference":{"modelId":"dbmdz/bert-large-cased-finetuned-conll03-english","providerModelId":"dbmdz/bert-large-cased-finetuned-conll03-english"} } }
+/>
+
+
+### Translation
+
+Find out more about Translation [here](../tasks/translation).
+
+<InferenceSnippet
+    pipeline=translation
+    providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"} } }
+/>
+
+
+### Zero Shot Classification
+
+Find out more about Zero Shot Classification [here](../tasks/zero_shot_classification).
+
+<InferenceSnippet
+    pipeline=zero-shot-classification
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
+/>
+