Update Inference Providers documentation (automated) (#2498)

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

Author: HuggingFaceInfra

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

@@ -180,7 +180,7 @@ Find out more about Token Classification [here](../tasks/token-classification).
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"cahya/bert-base-indonesian-NER","providerModelId":"cahya/bert-base-indonesian-NER"} } }
+    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
 />
 
 

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":"moonshotai/Kimi-K2.6","providerModelId":"moonshotai/kimi-k2.6"} } }
+    providersMapping={ {"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"} } }
 conversational />
 

docs/inference-providers/providers/sambanova.md

@@ -41,13 +41,3 @@ 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/providers/together.md

@@ -57,7 +57,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"together":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"moonshotai/Kimi-K2.6"} } }
+    providersMapping={ {"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"} } }
 conversational />
 
 

docs/inference-providers/providers/zai-org.md

@@ -66,7 +66,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"} } }
+    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"} } }
 conversational />
 
 

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

@@ -28,6 +28,7 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/inference-p
 - [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507): A powerful small model with reasoning capabilities.
 - [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M): Strong conversational model that supports very long instructions.
 - [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
+- [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1): Powerful reasoning based open large language model.
 
 #### Conversational Vision-Language Models (VLMs)
 
@@ -63,7 +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/c4ai-command-r7b-12-2024","providerModelId":"command-r7b-12-2024"},"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"}} }
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/c4ai-command-r7b-12-2024","providerModelId":"command-r7b-12-2024"},"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"},"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 />
 
 
@@ -73,7 +74,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen/Qwen3.6-27B"},"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-K2.6","providerModelId":"moonshotai/kimi-k2.6"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.5-9B","providerModelId":"Qwen3.5-9B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"moonshotai/Kimi-K2.6"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen/Qwen3.6-27B"},"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/Qwen3.5-9B","providerModelId":"Qwen3.5-9B"},"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-4.5V","providerModelId":"glm-4.5v"}} }
 conversational />
 
 

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/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen/Qwen3.6-27B"},"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-K2.6","providerModelId":"moonshotai/kimi-k2.6"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen3.5-9B","providerModelId":"Qwen3.5-9B"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"moonshotai/Kimi-K2.6","providerModelId":"moonshotai/Kimi-K2.6"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"Qwen/Qwen3.6-35B-A3B"},"featherless-ai":{"modelId":"Qwen/Qwen3.6-27B","providerModelId":"Qwen/Qwen3.6-27B"},"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/Qwen3.5-9B","providerModelId":"Qwen3.5-9B"},"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-4.5V","providerModelId":"glm-4.5v"}} }
 conversational />
 
 

docs/inference-providers/tasks/text-generation.md

@@ -31,6 +31,7 @@ If you are interested in a Chat Completion task, which generates a response base
 - [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507): A powerful small model with reasoning capabilities.
 - [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M): Strong conversational model that supports very long instructions.
 - [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
+- [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1): Powerful reasoning based open large language model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-generation&sort=trending).
 

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":"cahya/bert-base-indonesian-NER","providerModelId":"cahya/bert-base-indonesian-NER"}} }
+    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"}} }
 />