Update Inference Providers documentation (automated) (#1893)

HuggingFaceInfra · Wauplin · web-flow · commit 50e26f571886 · 2025-09-04T09:03:47.000+02:00
Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
diff --git a/docs/inference-providers/providers/featherless-ai.md b/docs/inference-providers/providers/featherless-ai.md
@@ -52,7 +52,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"moonshotai/Kimi-K2-Instruct","providerModelId":"moonshotai/Kimi-K2-Instruct"} } }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"} } }
 conversational />
 
 
@@ -72,6 +72,6 @@ Find out more about Text Generation [here](../tasks/text_generation).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"moonshotai/Kimi-K2-Instruct","providerModelId":"moonshotai/Kimi-K2-Instruct"} } }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"} } }
 />
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -57,16 +57,6 @@ Find out more about Automatic Speech Recognition [here](../tasks/automatic_speec
 />
 
 
-### Chat Completion (LLM)
-
-Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
-
-<InferenceSnippet
-    pipeline=text-generation
-    providersMapping={ {"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"} } }
-conversational />
-
-
 ### Feature Extraction
 
 Find out more about Feature Extraction [here](../tasks/feature_extraction).
@@ -83,7 +73,7 @@ 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"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-chinese","providerModelId":"google-bert/bert-base-chinese"} } }
 />
 
 
@@ -103,17 +93,7 @@ Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
-/>
-
-
-### 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"} } }
+    providersMapping={ {"hf-inference":{"modelId":"sayeed99/segformer_b3_clothes","providerModelId":"sayeed99/segformer_b3_clothes"} } }
 />
 
 
@@ -123,7 +103,7 @@ Find out more about Question Answering [here](../tasks/question_answering).
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-base-squad2","providerModelId":"deepset/roberta-base-squad2"} } }
+    providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-cased-distilled-squad","providerModelId":"distilbert/distilbert-base-cased-distilled-squad"} } }
 />
 
 
@@ -133,7 +113,7 @@ 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":"Falconsai/text_summarization","providerModelId":"Falconsai/text_summarization"} } }
 />
 
 
@@ -143,7 +123,7 @@ Find out more about Table Question Answering [here](../tasks/table_question_answ
 
 <InferenceSnippet
     pipeline=table-question-answering
-    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wtq","providerModelId":"google/tapas-base-finetuned-wtq"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wikisql-supervised","providerModelId":"google/tapas-base-finetuned-wikisql-supervised"} } }
 />
 
 
@@ -153,17 +133,7 @@ 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":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"} } }
+    providersMapping={ {"hf-inference":{"modelId":"tabularisai/multilingual-sentiment-analysis","providerModelId":"tabularisai/multilingual-sentiment-analysis"} } }
 />
 
 
@@ -193,7 +163,7 @@ Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"} } }
 />
 
 
@@ -203,6 +173,6 @@ Find out more about Zero Shot Classification [here](../tasks/zero_shot_classific
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
+    providersMapping={ {"hf-inference":{"modelId":"joeddav/xlm-roberta-large-xnli","providerModelId":"joeddav/xlm-roberta-large-xnli"} } }
 />
 
diff --git a/docs/inference-providers/providers/replicate.md b/docs/inference-providers/providers/replicate.md
@@ -50,7 +50,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"} } }
+    providersMapping={ {"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"} } }
 />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -64,7 +64,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-reasoning-08-2025","providerModelId":"command-a-reasoning-08-2025"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2-Instruct","providerModelId":"moonshotai/Kimi-K2-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-120b","providerModelId":"accounts/fireworks/models/gpt-oss-120b"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"novita":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nscale":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"together":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-reasoning-08-2025","providerModelId":"command-a-reasoning-08-2025"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-120b","providerModelId":"accounts/fireworks/models/gpt-oss-120b"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hyperbolic":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"novita":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nscale":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"together":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/fill-mask.md b/docs/inference-providers/tasks/fill-mask.md
@@ -24,7 +24,6 @@ For more details about the `fill-mask` task, check out its [dedicated page](http
 
 ### Recommended models
 
-- [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base): A multilingual model trained on 100 languages.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=fill-mask&sort=trending).
 
@@ -33,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=fill-mask
-    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-uncased","providerModelId":"google-bert/bert-base-uncased"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google-bert/bert-base-chinese","providerModelId":"google-bert/bert-base-chinese"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
@@ -24,8 +24,6 @@ For more details about the `image-classification` task, check out its [dedicated
 
 ### Recommended models
 
-- [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
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"}} }
+    providersMapping={ {"hf-inference":{"modelId":"sayeed99/segformer_b3_clothes","providerModelId":"sayeed99/segformer_b3_clothes"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-to-image.md b/docs/inference-providers/tasks/image-to-image.md
@@ -39,7 +39,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"},"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"}} }
+    providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"},"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"}} }
 />
 
 
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"}} }
-/>
+There are currently no snippet examples for the **object-detection** task, as no providers support it yet.
 
 
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
@@ -24,9 +24,7 @@ For more details about the `question-answering` task, check out its [dedicated p
 
 ### Recommended models
 
-- [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2): A robust baseline model for most question answering domains.
 - [distilbert/distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-cased-distilled-squad): Small yet robust model that can answer questions.
-- [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq): A special model that can answer questions from tables.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=question-answering&sort=trending).
 
@@ -35,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-base-squad2","providerModelId":"deepset/roberta-base-squad2"}} }
+    providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-cased-distilled-squad","providerModelId":"distilbert/distilbert-base-cased-distilled-squad"}} }
 />
 
 
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.
 - [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).
@@ -34,7 +33,7 @@ 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":"Falconsai/text_summarization","providerModelId":"Falconsai/text_summarization"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/table-question-answering.md b/docs/inference-providers/tasks/table-question-answering.md
@@ -24,7 +24,6 @@ For more details about the `table-question-answering` task, check out its [dedic
 
 ### Recommended models
 
-- [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq): A robust table question answering model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=table-question-answering&sort=trending).
 
@@ -33,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=table-question-answering
-    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wtq","providerModelId":"google/tapas-base-finetuned-wtq"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wikisql-supervised","providerModelId":"google/tapas-base-finetuned-wikisql-supervised"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md
@@ -24,8 +24,6 @@ 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.
 
 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).
 
@@ -34,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"}} }
+    providersMapping={ {"hf-inference":{"modelId":"tabularisai/multilingual-sentiment-analysis","providerModelId":"tabularisai/multilingual-sentiment-analysis"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
@@ -42,7 +42,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"moonshotai/Kimi-K2-Instruct","providerModelId":"moonshotai/Kimi-K2-Instruct"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"together":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"}} }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"together":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/token-classification.md b/docs/inference-providers/tasks/token-classification.md
@@ -24,8 +24,6 @@ For more details about the `token-classification` task, check out its [dedicated
 
 ### Recommended models
 
-- [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER): A robust performance model to identify people, locations, organizations and names of miscellaneous entities.
-- [FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english): A strong model to identify people, locations, organizations and names in multiple languages.
 - [blaze999/Medical-NER](https://huggingface.co/blaze999/Medical-NER): A token classification model specialized on medical entity recognition.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=token-classification&sort=trending).
diff --git a/docs/inference-providers/tasks/translation.md b/docs/inference-providers/tasks/translation.md
@@ -24,7 +24,6 @@ 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).
 
@@ -33,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/zero-shot-classification.md b/docs/inference-providers/tasks/zero-shot-classification.md
@@ -24,7 +24,6 @@ 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).
 
@@ -33,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
+    providersMapping={ {"hf-inference":{"modelId":"joeddav/xlm-roberta-large-xnli","providerModelId":"joeddav/xlm-roberta-large-xnli"}} }
 />
 
 
