Update Inference Providers documentation (automated) (#2018)

HuggingFaceInfra · Wauplin · web-flow · commit a6e308d55cc3 · 2025-10-27T09:33:28.000+01:00
Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
diff --git a/docs/inference-providers/providers/hf-inference.md b/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":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"} } }
+    providersMapping={ {"hf-inference":{"modelId":"BAAI/bge-base-en-v1.5","providerModelId":"BAAI/bge-base-en-v1.5"} } }
 />
 
 
@@ -90,7 +90,7 @@ Find out more about Image Classification [here](../tasks/image_classification).
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"} } }
+    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
 />
 
 
@@ -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"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/novita.md b/docs/inference-providers/providers/novita.md
@@ -59,7 +59,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"novita":{"modelId":"Qwen/Qwen3-VL-30B-A3B-Instruct","providerModelId":"qwen/qwen3-vl-30b-a3b-instruct"} } }
+    providersMapping={ {"novita":{"modelId":"Qwen/Qwen3-VL-8B-Instruct","providerModelId":"qwen/qwen3-vl-8b-instruct"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md
@@ -52,16 +52,6 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 conversational />
 
 
-### Chat Completion (VLM)
-
-Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
-
-<InferenceSnippet
-    pipeline=image-text-to-text
-    providersMapping={ {"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"} } }
-conversational />
-
-
 ### Feature Extraction
 
 Find out more about Feature Extraction [here](../tasks/feature_extraction).
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -74,7 +74,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"llama-4-scout-17b-16e-instruct"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"nebius":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it-fast"},"novita":{"modelId":"Qwen/Qwen3-VL-30B-A3B-Instruct","providerModelId":"qwen/qwen3-vl-30b-a3b-instruct"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"},"scaleway":{"modelId":"google/gemma-3-27b-it","providerModelId":"gemma-3-27b-it"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"llama-4-scout-17b-16e-instruct"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"nebius":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it-fast"},"novita":{"modelId":"Qwen/Qwen3-VL-8B-Instruct","providerModelId":"qwen/qwen3-vl-8b-instruct"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"scaleway":{"modelId":"google/gemma-3-27b-it","providerModelId":"gemma-3-27b-it"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/feature-extraction.md b/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":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"},"scaleway":{"modelId":"BAAI/bge-multilingual-gemma2","providerModelId":"bge-multilingual-gemma2"}} }
+    providersMapping={ {"hf-inference":{"modelId":"BAAI/bge-base-en-v1.5","providerModelId":"BAAI/bge-base-en-v1.5"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"},"scaleway":{"modelId":"BAAI/bge-multilingual-gemma2","providerModelId":"bge-multilingual-gemma2"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"}} }
+    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/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={ {"cerebras":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"llama-4-scout-17b-16e-instruct"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"nebius":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it-fast"},"novita":{"modelId":"Qwen/Qwen3-VL-30B-A3B-Instruct","providerModelId":"qwen/qwen3-vl-30b-a3b-instruct"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"sambanova":{"modelId":"meta-llama/Llama-4-Maverick-17B-128E-Instruct","providerModelId":"Llama-4-Maverick-17B-128E-Instruct"},"scaleway":{"modelId":"google/gemma-3-27b-it","providerModelId":"gemma-3-27b-it"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"llama-4-scout-17b-16e-instruct"},"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it"},"fireworks-ai":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"accounts/fireworks/models/llama4-scout-instruct-basic"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"hyperbolic":{"modelId":"Qwen/Qwen2.5-VL-7B-Instruct","providerModelId":"Qwen/Qwen2.5-VL-7B-Instruct"},"nebius":{"modelId":"google/gemma-3-27b-it","providerModelId":"google/gemma-3-27b-it-fast"},"novita":{"modelId":"Qwen/Qwen3-VL-8B-Instruct","providerModelId":"qwen/qwen3-vl-8b-instruct"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"scaleway":{"modelId":"google/gemma-3-27b-it","providerModelId":"gemma-3-27b-it"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/translation.md b/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"}} }
 />
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
@@ -14,7 +14,7 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^4.12.0",
+    "@huggingface/inference": "^4.13.0",
     "@huggingface/tasks": "^0.19.58",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
diff --git a/scripts/inference-providers/pnpm-lock.yaml b/scripts/inference-providers/pnpm-lock.yaml
