Update Inference Providers documentation (automated) (#2640)

HuggingFaceInfra · Wauplin · web-flow · commit 7a73cf14f426 · 2026-07-11T06:05:50.000+02:00
Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
diff --git a/docs/inference-providers/providers/fal-ai.md b/docs/inference-providers/providers/fal-ai.md
@@ -87,6 +87,6 @@ Find out more about Text To Video [here](../tasks/text-to-video).
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"fal-ai/wan/v2.2-5b/text-to-video"} } }
+    providersMapping={ {"fal-ai":{"modelId":"Alissonerdx/LTX-Best-Face-ID","providerModelId":"fal-ai/ltx-2-19b/text-to-video/lora"} } }
 />
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -160,7 +160,7 @@ Find out more about Token Classification [here](../tasks/token-classification).
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
+    providersMapping={ {"hf-inference":{"modelId":"openai/privacy-filter","providerModelId":"openai/privacy-filter"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/scaleway.md b/docs/inference-providers/providers/scaleway.md
@@ -47,7 +47,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"} } }
+    providersMapping={ {"scaleway":{"modelId":"zai-org/GLM-5.2","providerModelId":"glm-5.2"} } }
 conversational />
 
 
@@ -57,7 +57,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"} } }
+    providersMapping={ {"scaleway":{"modelId":"Qwen/Qwen3.6-35B-A3B","providerModelId":"qwen3.6-35b-a3b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/together.md b/docs/inference-providers/providers/together.md
@@ -57,7 +57,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"together":{"modelId":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"} } }
+    providersMapping={ {"together":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/zai-org.md b/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","providerModelId":"glm-4.6v"} } }
+    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -33,6 +33,7 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/inference-p
 #### Conversational Vision-Language Models (VLMs)
 
 - [zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V): Cutting-edge reasoning vision language model.
+- [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct): Small yet powerful model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-text-to-text&sort=trending).
 
@@ -64,7 +65,7 @@ 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":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"},"featherless-ai":{"modelId":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"},"fireworks-ai":{"modelId":"zai-org/GLM-5.2","providerModelId":"accounts/fireworks/models/glm-5p2"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"novita":{"modelId":"zai-org/GLM-5.2","providerModelId":"zai-org/glm-5.2"},"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":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"},"zai-org":{"modelId":"zai-org/GLM-5.2","providerModelId":"glm-5.2"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"deepinfra":{"modelId":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"},"featherless-ai":{"modelId":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"},"fireworks-ai":{"modelId":"zai-org/GLM-5.2","providerModelId":"accounts/fireworks/models/glm-5p2"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"novita":{"modelId":"zai-org/GLM-5.2","providerModelId":"zai-org/glm-5.2"},"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":"zai-org/GLM-5.2","providerModelId":"glm-5.2"},"together":{"modelId":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"zai-org":{"modelId":"zai-org/GLM-5.2","providerModelId":"glm-5.2"}} }
 conversational />
 
 
@@ -74,7 +75,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cerebras":{"modelId":"google/gemma-4-31B-it","providerModelId":"gemma-4-31b"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"featherless-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"accounts/fireworks/models/minimax-m3"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"minimax/minimax-m3"},"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":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"}} }
+    providersMapping={ {"cerebras":{"modelId":"google/gemma-4-31B-it","providerModelId":"gemma-4-31b"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"featherless-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"accounts/fireworks/models/minimax-m3"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"minimax/minimax-m3"},"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/Qwen3.6-35B-A3B","providerModelId":"qwen3.6-35b-a3b"},"together":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md
@@ -23,6 +23,7 @@ Image-text-to-text models take in an image and text prompt and output text. Thes
 ### Recommended models
 
 - [zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V): Cutting-edge reasoning vision language model.
+- [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct): Small yet powerful model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-text-to-text&sort=trending).
 
@@ -31,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cerebras":{"modelId":"google/gemma-4-31B-it","providerModelId":"gemma-4-31b"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"featherless-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"accounts/fireworks/models/minimax-m3"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"minimax/minimax-m3"},"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":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"}} }
+    providersMapping={ {"cerebras":{"modelId":"google/gemma-4-31B-it","providerModelId":"gemma-4-31b"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"deepinfra":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"featherless-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"accounts/fireworks/models/minimax-m3"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"minimax/minimax-m3"},"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/Qwen3.6-35B-A3B","providerModelId":"qwen3.6-35b-a3b"},"together":{"modelId":"MiniMaxAI/MiniMax-M3","providerModelId":"MiniMaxAI/MiniMax-M3"},"zai-org":{"modelId":"zai-org/GLM-4.6V-Flash","providerModelId":"glm-4.6v-flash"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/text-to-video.md b/docs/inference-providers/tasks/text-to-video.md
@@ -32,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"fal-ai/wan/v2.2-5b/text-to-video"},"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"},"together":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"Wan-AI/Wan2.2-T2V-A14B"},"wavespeed":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wavespeed-ai/wan-2.2/t2v-5b-720p"}} }
+    providersMapping={ {"fal-ai":{"modelId":"Alissonerdx/LTX-Best-Face-ID","providerModelId":"fal-ai/ltx-2-19b/text-to-video/lora"},"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"},"together":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"Wan-AI/Wan2.2-T2V-A14B"},"wavespeed":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wavespeed-ai/wan-2.2/t2v-5b-720p"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/token-classification.md b/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":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"}} }
+    providersMapping={ {"hf-inference":{"modelId":"openai/privacy-filter","providerModelId":"openai/privacy-filter"}} }
 />
 
 
