Update Inference Providers documentation (automated) (#2054)

Co-authored-by: Wauplin <[email protected]>

Author: HuggingFaceInfra

docs/inference-providers/providers/featherless-ai.md

@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"inclusionAI/Ling-1T","providerModelId":"inclusionAI/Ling-1T"} } }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"} } }
 conversational />
 
 
@@ -69,6 +69,6 @@ Find out more about Text Generation [here](../tasks/text_generation).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"inclusionAI/Ling-1T","providerModelId":"inclusionAI/Ling-1T"} } }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"} } }
 />
 

docs/inference-providers/providers/fireworks-ai.md

@@ -46,7 +46,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M2","providerModelId":"accounts/fireworks/models/minimax-m2"} } }
+    providersMapping={ {"fireworks-ai":{"modelId":"openai/gpt-oss-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"} } }
 conversational />
 
 

docs/inference-providers/providers/replicate.md

@@ -57,7 +57,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"} } }
+    providersMapping={ {"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"} } }
 />
 
 

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

@@ -64,7 +64,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"zai-org/GLM-4.6","providerModelId":"zai-glm-4.6"},"cohere":{"modelId":"CohereLabs/aya-expanse-32b","providerModelId":"c4ai-aya-expanse-32b"},"featherless-ai":{"modelId":"inclusionAI/Ling-1T","providerModelId":"inclusionAI/Ling-1T"},"fireworks-ai":{"modelId":"MiniMaxAI/MiniMax-M2","providerModelId":"accounts/fireworks/models/minimax-m2"},"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"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"MiniMaxAI/MiniMax-M2","providerModelId":"minimax/minimax-m2"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-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":"moonshotai/Kimi-K2-Thinking","providerModelId":"moonshotai/Kimi-K2-Thinking"},"zai-org":{"modelId":"zai-org/GLM-4.6","providerModelId":"glm-4.6"}} }
+    providersMapping={ {"cerebras":{"modelId":"zai-org/GLM-4.6","providerModelId":"zai-glm-4.6"},"cohere":{"modelId":"CohereLabs/aya-expanse-32b","providerModelId":"c4ai-aya-expanse-32b"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"},"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"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"MiniMaxAI/MiniMax-M2","providerModelId":"minimax/minimax-m2"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-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":"moonshotai/Kimi-K2-Thinking","providerModelId":"moonshotai/Kimi-K2-Thinking"},"zai-org":{"modelId":"zai-org/GLM-4.6","providerModelId":"glm-4.6"}} }
 conversational />
 
 

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

@@ -58,7 +58,7 @@ Explore all available models and find the one that suits you best [here](https:/
 | **normalize** | _boolean_ |  |
 | **prompt_name** | _string_ | The name of the prompt that should be used by for encoding. If not set, no prompt will be applied.  Must be a key in the `sentence-transformers` configuration `prompts` dictionary.  For example if ``prompt_name`` is "query" and the ``prompts`` is {"query": "query: ", ...}, then the sentence "What is the capital of France?" will be encoded as "query: What is the capital of France?" because the prompt text will be prepended before any text to encode. |
 | **truncate** | _boolean_ |  |
-| **truncation_direction** | _enum_ | Possible values: Left, Right. |
+| **truncation_direction** | _enum_ | Possible values: left, right. |
 
 
 #### Response

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

@@ -37,7 +37,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"nvidia/ChronoEdit-14B-Diffusers","providerModelId":"fal-ai/chrono-edit"},"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"},"wavespeed":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"wavespeed-ai/qwen-image/edit"}} }
+    providersMapping={ {"fal-ai":{"modelId":"nvidia/ChronoEdit-14B-Diffusers","providerModelId":"fal-ai/chrono-edit"},"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"},"wavespeed":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"wavespeed-ai/qwen-image/edit"}} }
 />
 
 

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

@@ -40,7 +40,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"inclusionAI/Ling-1T","providerModelId":"inclusionAI/Ling-1T"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"}} }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"}} }
 />
 
 

scripts/inference-providers/package.json

@@ -14,7 +14,7 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^4.13.2",
+    "@huggingface/inference": "^4.13.3",
     "@huggingface/tasks": "^0.19.63",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",