[Bot] Update Inference Providers documentation (#1713)

HuggingFaceInfra · Wauplin · hanouticelina · web-flow · commit 91973b41a479 · 2025-04-29T17:41:25.000+02:00
* Update Inference Providers documentation (automated)

* Update Inference Providers documentation (automated)

* regenerate

---------

Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
Co-authored-by: Celina Hanouti &lt;hanouticelina@gmail.com&gt;
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -75,37 +75,37 @@ 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"} } }
+    providersMapping={ {"hf-inference":{"modelId":"kyutai/mimi","providerModelId":"kyutai/mimi"} } }
 />
 
 
-### Image Classification
+### Fill Mask
 
-Find out more about Image Classification [here](../tasks/image_classification).
+Find out more about Fill Mask [here](../tasks/fill_mask).
 
 <InferenceSnippet
-    pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
+    pipeline=fill-mask
+    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-uncased","providerModelId":"google-bert/bert-base-uncased"} } }
 />
 
 
-### Object Detection
+### Image Classification
 
-Find out more about Object Detection [here](../tasks/object_detection).
+Find out more about Image Classification [here](../tasks/image_classification).
 
 <InferenceSnippet
-    pipeline=object-detection
-    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"} } }
+    pipeline=image-classification
+    providersMapping={ {"hf-inference":{"modelId":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"} } }
 />
 
 
-### Question Answering
+### Image Segmentation
 
-Find out more about Question Answering [here](../tasks/question_answering).
+Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
-    pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"} } }
+    pipeline=image-segmentation
+    providersMapping={ {"hf-inference":{"modelId":"jonathandinu/face-parsing","providerModelId":"jonathandinu/face-parsing"} } }
 />
 
 
@@ -115,7 +115,7 @@ Find out more about Summarization [here](../tasks/summarization).
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
+    providersMapping={ {"hf-inference":{"modelId":"pszemraj/led-base-book-summary","providerModelId":"pszemraj/led-base-book-summary"} } }
 />
 
 
@@ -125,7 +125,7 @@ Find out more about Text Classification [here](../tasks/text_classification).
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"} } }
+    providersMapping={ {"hf-inference":{"modelId":"NousResearch/Minos-v1","providerModelId":"NousResearch/Minos-v1"} } }
 />
 
 
@@ -155,16 +155,6 @@ 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"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"} } }
 />
 
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md
@@ -39,16 +39,6 @@ Customers are turning to SambaNova to quickly deploy state-of-the-art AI and dee
 ## Supported tasks
 
 
-### Automatic Speech Recognition
-
-Find out more about Automatic Speech Recognition [here](../tasks/automatic_speech_recognition).
-
-<InferenceSnippet
-    pipeline=automatic-speech-recognition
-    providersMapping={ {"sambanova":{"modelId":"openai/whisper-large-v3","providerModelId":"Whisper-Large-v3"} } }
-/>
-
-
 ### Chat Completion (LLM)
 
 Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
diff --git a/docs/inference-providers/tasks/automatic-speech-recognition.md b/docs/inference-providers/tasks/automatic-speech-recognition.md
@@ -38,7 +38,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=automatic-speech-recognition
-    providersMapping={ {"fal-ai":{"modelId":"openai/whisper-large-v3","providerModelId":"fal-ai/whisper"},"hf-inference":{"modelId":"openai/whisper-large-v3-turbo","providerModelId":"openai/whisper-large-v3-turbo"},"sambanova":{"modelId":"openai/whisper-large-v3","providerModelId":"Whisper-Large-v3"}} }
+    providersMapping={ {"fal-ai":{"modelId":"openai/whisper-large-v3","providerModelId":"fal-ai/whisper"},"hf-inference":{"modelId":"openai/whisper-large-v3-turbo","providerModelId":"openai/whisper-large-v3-turbo"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -22,7 +22,6 @@ 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-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
diff --git a/docs/inference-providers/tasks/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md
@@ -37,7 +37,7 @@ 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":"kyutai/mimi","providerModelId":"kyutai/mimi"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/fill-mask.md b/docs/inference-providers/tasks/fill-mask.md
@@ -30,7 +30,10 @@ Explore all available models and find the one that suits you best [here](https:/
 ### Using the API
 
 
-No snippet available for this task.
+<InferenceSnippet
+    pipeline=fill-mask
+    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-uncased","providerModelId":"google-bert/bert-base-uncased"}} }
+/>
 
 
 
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
@@ -24,6 +24,7 @@ For more details about the `image-classification` task, check out its [dedicated
 
 ### Recommended models
 
+- [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224): 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).
 
@@ -32,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
@@ -30,7 +30,10 @@ Explore all available models and find the one that suits you best [here](https:/
 ### Using the API
 
 
-No snippet available for this task.
+<InferenceSnippet
+    pipeline=image-segmentation
+    providersMapping={ {"hf-inference":{"modelId":"jonathandinu/face-parsing","providerModelId":"jonathandinu/face-parsing"}} }
+/>
 
 
 
diff --git a/docs/inference-providers/tasks/object-detection.md b/docs/inference-providers/tasks/object-detection.md
@@ -24,17 +24,13 @@ For more details about the `object-detection` task, check out its [dedicated pag
 
 ### Recommended models
 
-- [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50): Solid object detection model pre-trained on the COCO 2017 dataset.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=object-detection&sort=trending).
 
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=object-detection
-    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"}} }
-/>
+No snippet available for this task.
 
 
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
@@ -30,10 +30,7 @@ Explore all available models and find the one that suits you best [here](https:/
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"}} }
-/>
+No snippet available for this task.
 
 
 
diff --git a/docs/inference-providers/tasks/summarization.md b/docs/inference-providers/tasks/summarization.md
@@ -24,7 +24,6 @@ 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.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=summarization&sort=trending).
 
@@ -33,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"}} }
+    providersMapping={ {"hf-inference":{"modelId":"pszemraj/led-base-book-summary","providerModelId":"pszemraj/led-base-book-summary"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md
@@ -24,6 +24,9 @@ For more details about the `text-classification` task, check out its [dedicated
 
 ### Recommended models
 
+- [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.
+- [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest): A sentiment analysis model specialized in analyzing tweets.
 
 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).
 
@@ -32,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"}} }
+    providersMapping={ {"hf-inference":{"modelId":"NousResearch/Minos-v1","providerModelId":"NousResearch/Minos-v1"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
@@ -27,7 +27,6 @@ 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-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
diff --git a/docs/inference-providers/tasks/text-to-image.md b/docs/inference-providers/tasks/text-to-image.md
@@ -25,6 +25,7 @@ For more details about the `text-to-image` task, check out its [dedicated page](
 ### Recommended models
 
 - [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev): One of the most powerful image generation models that can generate realistic outputs.
+- [latent-consistency/lcm-lora-sdxl](https://huggingface.co/latent-consistency/lcm-lora-sdxl): A powerful yet fast image generation model.
 - [Kwai-Kolors/Kolors](https://huggingface.co/Kwai-Kolors/Kolors): Text-to-image model for photorealistic generation.
 - [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers): A powerful text-to-image model.
 
diff --git a/docs/inference-providers/tasks/translation.md b/docs/inference-providers/tasks/translation.md
@@ -24,6 +24,7 @@ For more details about the `translation` task, check out its [dedicated page](ht
 
 ### Recommended models
 
+- [google-t5/t5-base](https://huggingface.co/google-t5/t5-base): A general-purpose Transformer that can be used to translate from English to German, French, or Romanian.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=translation&sort=trending).
 
@@ -32,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/zero-shot-classification.md b/docs/inference-providers/tasks/zero-shot-classification.md
@@ -24,17 +24,13 @@ For more details about the `zero-shot-classification` task, check out its [dedic
 
 ### Recommended models
 
-- [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli): Powerful zero-shot text classification model.
 
 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).
 
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
-/>
+No snippet available for this task.
 
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
@@ -14,8 +14,8 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^3.8.1",
-    "@huggingface/tasks": "^0.18.9",
+    "@huggingface/inference": "^3.9.2",
+    "@huggingface/tasks": "^0.18.11",
     "@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
