Update Inference Providers documentation (automated) (#1988)

Co-authored-by: Wauplin <[email protected]>

Author: HuggingFaceInfra

docs/inference-providers/providers/cohere.md

@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-translate-08-2025","providerModelId":"command-a-translate-08-2025"} } }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-expanse-8b","providerModelId":"c4ai-aya-expanse-8b"} } }
 conversational />
 
 

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

@@ -130,7 +130,7 @@ Find out more about Summarization [here](../tasks/summarization).
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/text_summarization","providerModelId":"Falconsai/text_summarization"} } }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
 />
 
 
@@ -190,7 +190,7 @@ Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google/madlad400-3b-mt","providerModelId":"google/madlad400-3b-mt"} } }
 />
 
 

docs/inference-providers/providers/novita.md

@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"novita":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"qwen/qwen3-next-80b-a3b-instruct"} } }
+    providersMapping={ {"novita":{"modelId":"zai-org/GLM-4.6","providerModelId":"zai-org/glm-4.6"} } }
 conversational />
 
 

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-translate-08-2025","providerModelId":"command-a-translate-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-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"},"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"qwen/qwen3-next-80b-a3b-instruct"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"scaleway":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"together":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"},"zai-org":{"modelId":"zai-org/GLM-4.6","providerModelId":"glm-4.6"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/aya-expanse-8b","providerModelId":"c4ai-aya-expanse-8b"},"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-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"},"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"zai-org/GLM-4.6","providerModelId":"zai-org/glm-4.6"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"scaleway":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"together":{"modelId":"Qwen/Qwen3-Next-80B-A3B-Instruct","providerModelId":"Qwen/Qwen3-Next-80B-A3B-Instruct"},"zai-org":{"modelId":"zai-org/GLM-4.6","providerModelId":"glm-4.6"}} }
 conversational />
 
 

docs/inference-providers/tasks/summarization.md

@@ -22,6 +22,7 @@ Summarization is the task of producing a shorter version of a document while pre
 
 ### 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).
@@ -31,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/text_summarization","providerModelId":"Falconsai/text_summarization"}} }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"}} }
 />
 
 

docs/inference-providers/tasks/translation.md

@@ -31,7 +31,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google/madlad400-3b-mt","providerModelId":"google/madlad400-3b-mt"}} }
 />