Update Inference Providers documentation (automated) (#2271)

Co-authored-by: Wauplin <11801849+Wauplin@users.noreply.github.com>

Author: HuggingFaceInfra

docs/inference-providers/providers/hyperbolic.md

@@ -85,7 +85,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"hyperbolic":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"} } }
+    providersMapping={ {"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"} } }
 conversational />
 
 

docs/inference-providers/providers/publicai.md

@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"publicai":{"modelId":"allenai/Olmo-3.1-32B-Think","providerModelId":"allenai/Olmo-3.1-32B-Think"} } }
+    providersMapping={ {"publicai":{"modelId":"allenai/Olmo-3.1-32B-Instruct","providerModelId":"allenai/Olmo-3.1-32B-Instruct"} } }
 conversational />
 
 

docs/inference-providers/tasks/chat-completion.md

@@ -64,7 +64,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"featherless-ai":{"modelId":"Nanbeige/Nanbeige4.1-3B","providerModelId":"Nanbeige/Nanbeige4.1-3B"},"fireworks-ai":{"modelId":"zai-org/GLM-5","providerModelId":"accounts/fireworks/models/glm-5"},"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"},"hyperbolic":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/glm-5"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Llama-3.1-8B-Instruct"},"publicai":{"modelId":"allenai/Olmo-3.1-32B-Think","providerModelId":"allenai/Olmo-3.1-32B-Think"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/GLM-5"},"zai-org":{"modelId":"zai-org/GLM-5","providerModelId":"glm-5"}} }
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"featherless-ai":{"modelId":"Nanbeige/Nanbeige4.1-3B","providerModelId":"Nanbeige/Nanbeige4.1-3B"},"fireworks-ai":{"modelId":"zai-org/GLM-5","providerModelId":"accounts/fireworks/models/glm-5"},"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"},"novita":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/glm-5"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Llama-3.1-8B-Instruct"},"publicai":{"modelId":"allenai/Olmo-3.1-32B-Instruct","providerModelId":"allenai/Olmo-3.1-32B-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/GLM-5"},"zai-org":{"modelId":"zai-org/GLM-5","providerModelId":"glm-5"}} }
 conversational />
 
 

docs/inference-providers/tasks/summarization.md

@@ -23,6 +23,7 @@ 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).
 

docs/inference-providers/tasks/translation.md

@@ -22,7 +22,6 @@ Translation is the task of converting text from one language to another.
 
 ### 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).
 

scripts/inference-providers/package.json

@@ -14,8 +14,8 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^4.13.14",
-    "@huggingface/tasks": "^0.19.89",
+    "@huggingface/inference": "^4.13.15",
+    "@huggingface/tasks": "^0.19.90",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
     "node": "^20.17.0",