Update Inference Providers documentation (automated) (#1726)

HuggingFaceInfra · Wauplin · web-flow · commit 1cee8bb53084 · 2025-05-16T09:35:07.000+02:00
Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
diff --git a/docs/inference-providers/providers/cerebras.md b/docs/inference-providers/providers/cerebras.md
@@ -44,7 +44,7 @@ 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"} } }
+    providersMapping={ {"cerebras":{"modelId":"Qwen/Qwen3-32B","providerModelId":"qwen-3-32b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -39,16 +39,6 @@ If you are interested in deploying models to a dedicated and autoscaling infrast
 ## Supported tasks
 
 
-### Audio Classification
-
-Find out more about Audio Classification [here](../tasks/audio_classification).
-
-<InferenceSnippet
-    pipeline=audio-classification
-    providersMapping={ {"hf-inference":{"modelId":"firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3","providerModelId":"firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3"} } }
-/>
-
-
 ### Automatic Speech Recognition
 
 Find out more about Automatic Speech Recognition [here](../tasks/automatic_speech_recognition).
@@ -75,7 +65,7 @@ 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"} } }
+    providersMapping={ {"hf-inference":{"modelId":"Qwen/Qwen2.5-VL-32B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-32B-Instruct"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/nebius.md b/docs/inference-providers/providers/nebius.md
@@ -58,6 +58,16 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 conversational />
 
 
+### Feature Extraction
+
+Find out more about Feature Extraction [here](../tasks/feature_extraction).
+
+<InferenceSnippet
+    pipeline=feature-extraction
+    providersMapping={ {"nebius":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"intfloat/e5-mistral-7b-instruct"} } }
+/>
+
+
 ### Text To Image
 
 Find out more about Text To Image [here](../tasks/text_to_image).
diff --git a/docs/inference-providers/providers/nscale.md b/docs/inference-providers/providers/nscale.md
@@ -39,3 +39,33 @@ Built on this foundation, Nscale's inference service empowers developers with a
 
 ## Supported tasks
 
+
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"nscale":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"} } }
+conversational />
+
+
+### Chat Completion (VLM)
+
+Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=image-text-to-text
+    providersMapping={ {"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"} } }
+conversational />
+
+
+### Text To Image
+
+Find out more about Text To Image [here](../tasks/text_to_image).
+
+<InferenceSnippet
+    pipeline=text-to-image
+    providersMapping={ {"nscale":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"} } }
+/>
+
diff --git a/docs/inference-providers/providers/replicate.md b/docs/inference-providers/providers/replicate.md
@@ -54,6 +54,6 @@ Find out more about Text To Video [here](../tasks/text_to_video).
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"wavespeedai/wan-2.1-t2v-480p"} } }
+    providersMapping={ {"replicate":{"modelId":"Lightricks/LTX-Video","providerModelId":"lightricks/ltx-video:8c47da666861d081eeb4d1261853087de23923a268a69b63febdf5dc1dee08e4"} } }
 />
 
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md
@@ -45,7 +45,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"sambanova":{"modelId":"deepseek-ai/DeepSeek-V3-0324","providerModelId":"DeepSeek-V3-0324"} } }
+    providersMapping={ {"sambanova":{"modelId":"Qwen/Qwen3-32B","providerModelId":"Qwen3-32B"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/audio-classification.md b/docs/inference-providers/tasks/audio-classification.md
@@ -29,17 +29,13 @@ For more details about the `audio-classification` task, check out its [dedicated
 
 ### Recommended models
 
-- [ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition](https://huggingface.co/ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition): An emotion recognition model.
 
 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).
 
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=audio-classification
-    providersMapping={ {"hf-inference":{"modelId":"firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3","providerModelId":"firdhokk/speech-emotion-recognition-with-openai-whisper-large-v3"}} }
-/>
+There are currently no snippet examples for the **audio-classification** task, as no providers support it yet.
 
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -22,6 +22,7 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/inference-p
 #### Conversational Large Language Models (LLMs)
 
 - [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
+- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
 - [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
 - [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
 - [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M): Strong conversational model that supports very long instructions.
@@ -60,7 +61,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"llama-3.3-70b"},"cohere":{"modelId":"CohereLabs/c4ai-command-a-03-2025","providerModelId":"command-a-03-2025"},"fireworks-ai":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"accounts/fireworks/models/qwen3-235b-a22b"},"hf-inference":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-V3-0324","providerModelId":"deepseek-ai/DeepSeek-V3-0324"},"nebius":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"novita":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"qwen/qwen3-235b-a22b-fp8"},"sambanova":{"modelId":"deepseek-ai/DeepSeek-V3-0324","providerModelId":"DeepSeek-V3-0324"},"together":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"}} }
+    providersMapping={ {"cerebras":{"modelId":"Qwen/Qwen3-32B","providerModelId":"qwen-3-32b"},"cohere":{"modelId":"CohereLabs/c4ai-command-a-03-2025","providerModelId":"command-a-03-2025"},"fireworks-ai":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"accounts/fireworks/models/qwen3-235b-a22b"},"hf-inference":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-V3-0324","providerModelId":"deepseek-ai/DeepSeek-V3-0324"},"nebius":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"novita":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"qwen/qwen3-235b-a22b-fp8"},"nscale":{"modelId":"Qwen/Qwen3-235B-A22B","providerModelId":"Qwen/Qwen3-235B-A22B"},"sambanova":{"modelId":"Qwen/Qwen3-32B","providerModelId":"Qwen3-32B"},"together":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"}} }
 conversational />
 
 
@@ -70,7 +71,7 @@ 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/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"hf-inference":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"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":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"Llama-4-Scout-17B-16E-Instruct"},"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/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"hf-inference":{"modelId":"Qwen/Qwen2.5-VL-32B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-32B-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":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"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-Scout-17B-16E-Instruct","providerModelId":"Llama-4-Scout-17B-16E-Instruct"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md
@@ -38,7 +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-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
+    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"},"nebius":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"intfloat/e5-mistral-7b-instruct"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
@@ -26,6 +26,7 @@ For more details about the `image-classification` task, check out its [dedicated
 
 - [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224): A strong image classification model.
 - [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224): A robust image classification model.
+- [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224): A strong image classification model.
 
 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).
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
@@ -24,6 +24,7 @@ For more details about the `image-segmentation` task, check out its [dedicated p
 
 ### Recommended models
 
+- [openmmlab/upernet-convnext-small](https://huggingface.co/openmmlab/upernet-convnext-small): Solid semantic segmentation model trained on ADE20k.
 - [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.
 
 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).
diff --git a/docs/inference-providers/tasks/summarization.md b/docs/inference-providers/tasks/summarization.md
@@ -25,6 +25,7 @@ For more details about the `summarization` task, check out its [dedicated page](
 ### Recommended models
 
 - [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn): A strong summarization model trained on English news articles. Excels at generating factual summaries.
+- [Falconsai/medical_summarization](https://huggingface.co/Falconsai/medical_summarization): A summarization model trained on medical articles.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=summarization&sort=trending).
 
diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md
@@ -26,7 +26,6 @@ For more details about the `text-classification` task, check out its [dedicated
 
 - [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english): A robust model trained for sentiment analysis.
 - [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert): A sentiment analysis model specialized in financial sentiment.
-- [meta-llama/Prompt-Guard-86M](https://huggingface.co/meta-llama/Prompt-Guard-86M): A model that can classify text generation attacks.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-classification&sort=trending).
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
@@ -27,6 +27,7 @@ For more details about the `text-generation` task, check out its [dedicated page
 ### Recommended models
 
 - [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
+- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
 - [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
 - [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
 - [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M): Strong conversational model that supports very long instructions.
diff --git a/docs/inference-providers/tasks/text-to-image.md b/docs/inference-providers/tasks/text-to-image.md
@@ -36,7 +36,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-image
-    providersMapping={ {"fal-ai":{"modelId":"HiDream-ai/HiDream-I1-Full","providerModelId":"fal-ai/hidream-i1-full"},"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"},"nebius":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"replicate":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"together":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"}} }
+    providersMapping={ {"fal-ai":{"modelId":"HiDream-ai/HiDream-I1-Full","providerModelId":"fal-ai/hidream-i1-full"},"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"},"nebius":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"nscale":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"replicate":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"together":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-to-video.md b/docs/inference-providers/tasks/text-to-video.md
@@ -35,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Lightricks/LTX-Video","providerModelId":"fal-ai/ltx-video"},"replicate":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"wavespeedai/wan-2.1-t2v-480p"}} }
+    providersMapping={ {"fal-ai":{"modelId":"Lightricks/LTX-Video","providerModelId":"fal-ai/ltx-video"},"replicate":{"modelId":"Lightricks/LTX-Video","providerModelId":"lightricks/ltx-video:8c47da666861d081eeb4d1261853087de23923a268a69b63febdf5dc1dee08e4"}} }
 />
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
@@ -14,8 +14,8 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^3.11.0",
-    "@huggingface/tasks": "^0.19.1",
+    "@huggingface/inference": "^3.13.1",
+    "@huggingface/tasks": "^0.19.5",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
     "node": "^20.17.0",
diff --git a/scripts/inference-providers/pnpm-lock.yaml b/scripts/inference-providers/pnpm-lock.yaml
