Update Inference Providers documentation (automated) (#2559)

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

Author: HuggingFaceInfra

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

@@ -70,7 +70,7 @@ Find out more about Feature Extraction [here](../tasks/feature-extraction).
 
 <InferenceSnippet
     pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"microsoft/harrier-oss-v1-0.6b","providerModelId":"microsoft/harrier-oss-v1-0.6b"} } }
+    providersMapping={ {"hf-inference":{"modelId":"ibm-granite/granite-embedding-97m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-97m-multilingual-r2"} } }
 />
 
 
@@ -180,7 +180,7 @@ Find out more about Token Classification [here](../tasks/token-classification).
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"Babelscape/wikineural-multilingual-ner","providerModelId":"Babelscape/wikineural-multilingual-ner"} } }
+    providersMapping={ {"hf-inference":{"modelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1","providerModelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1"} } }
 />
 
 

docs/inference-providers/providers/novita.md

@@ -59,6 +59,6 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"} } }
+    providersMapping={ {"novita":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"} } }
 conversational />
 

docs/inference-providers/providers/publicai.md

@@ -49,6 +49,6 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"publicai":{"modelId":"utter-project/EuroLLM-22B-Instruct-2512","providerModelId":"utter-project/EuroLLM-22B-Instruct-2512"} } }
+    providersMapping={ {"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"} } }
 conversational />
 

docs/inference-providers/providers/sambanova.md

@@ -41,3 +41,13 @@ Customers are turning to SambaNova to quickly deploy state-of-the-art AI and dee
 
 ## Supported tasks
 
+
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"sambanova":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"} } }
+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/tiny-aya-global","providerModelId":"tiny-aya-global"},"deepinfra":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"featherless-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"accounts/fireworks/models/deepseek-v4-pro"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"HuggingFaceBio/Carbon-3B","providerModelId":"HuggingFaceBio/Carbon-3B"},"hyperbolic":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"meta-llama/Llama-3.3-70B-Instruct"},"novita":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek/deepseek-v4-pro"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"publicai":{"modelId":"utter-project/EuroLLM-22B-Instruct-2512","providerModelId":"utter-project/EuroLLM-22B-Instruct-2512"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"deepinfra":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"featherless-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"fireworks-ai":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"accounts/fireworks/models/deepseek-v4-pro"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"HuggingFaceBio/Carbon-3B","providerModelId":"HuggingFaceBio/Carbon-3B"},"hyperbolic":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"meta-llama/Llama-3.3-70B-Instruct"},"novita":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek/deepseek-v4-pro"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"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":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
 conversational />
 
 
@@ -74,7 +74,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"stepfun-ai/Step-3.7-Flash","providerModelId":"stepfun-ai/Step-3.7-Flash"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"accounts/fireworks/models/kimi-k2p6"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"stepfun-ai/Step-3.7-Flash","providerModelId":"stepfun-ai/Step-3.7-Flash"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"accounts/fireworks/models/kimi-k2p6"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
 conversational />
 
 

docs/inference-providers/tasks/feature-extraction.md

@@ -36,7 +36,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"microsoft/harrier-oss-v1-0.6b","providerModelId":"microsoft/harrier-oss-v1-0.6b"},"scaleway":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"qwen3-embedding-8b"},"together":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"}} }
+    providersMapping={ {"hf-inference":{"modelId":"ibm-granite/granite-embedding-97m-multilingual-r2","providerModelId":"ibm-granite/granite-embedding-97m-multilingual-r2"},"scaleway":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"qwen3-embedding-8b"},"together":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"}} }
 />
 
 

docs/inference-providers/tasks/image-text-to-text.md

@@ -31,7 +31,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"stepfun-ai/Step-3.7-Flash","providerModelId":"stepfun-ai/Step-3.7-Flash"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"accounts/fireworks/models/kimi-k2p6"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"stepfun-ai/Step-3.7-Flash","providerModelId":"stepfun-ai/Step-3.7-Flash"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"accounts/fireworks/models/kimi-k2p6"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"moonshotai/Kimi-K2.7-Code","providerModelId":"moonshotai/kimi-k2.7-code"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen3.6-27B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
 conversational />
 
 

docs/inference-providers/tasks/token-classification.md

@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"Babelscape/wikineural-multilingual-ner","providerModelId":"Babelscape/wikineural-multilingual-ner"}} }
+    providersMapping={ {"hf-inference":{"modelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1","providerModelId":"OpenMed/OpenMed-PII-SuperClinical-Large-434M-v1"}} }
 />