Regenerate task pages against current model data

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

Author: davanstrien

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

@@ -80,7 +80,7 @@ Find out more about Image Classification [here](../tasks/image-classification).
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"} } }
 />
 
 
@@ -150,7 +150,7 @@ Find out more about Text To Image [here](../tasks/text-to-image).
 
 <InferenceSnippet
     pipeline=text-to-image
-    providersMapping={ {"hf-inference":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"} } }
+    providersMapping={ {"hf-inference":{"modelId":"stabilityai/stable-diffusion-3-medium-diffusers","providerModelId":"stabilityai/stable-diffusion-3-medium-diffusers"} } }
 />
 
 

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

@@ -56,7 +56,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-5.2-FP8","providerModelId":"glm-5.2"} } }
+    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-5.2","providerModelId":"glm-5.2"} } }
 conversational />
 
 
@@ -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-4.6V","providerModelId":"glm-4.6v"} } }
 conversational />
 
 

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

@@ -68,7 +68,7 @@ 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":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"accounts/fireworks/models/deepseek-v4-pro"},"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":"deepseek-ai/DeepSeek-V4-Pro","providerModelId":"deepseek-ai/DeepSeek-V4-Pro"},"zai-org":{"modelId":"zai-org/GLM-5.2-FP8","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":"zai-org/GLM-5.2","providerModelId":"zai-org/GLM-5.2"},"zai-org":{"modelId":"zai-org/GLM-5.2","providerModelId":"glm-5.2"}} }
 conversational />
 
 
@@ -78,7 +78,7 @@ 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-4.5V","providerModelId":"glm-4.5v"}} }
+    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","providerModelId":"glm-4.6v"}} }
 conversational />
 
 

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

@@ -37,7 +37,7 @@ hf models ls --warm --pipeline-tag image-classification --sort trending_score
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"}} }
 />
 
 

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

@@ -23,7 +23,6 @@ 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), or from the terminal with the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/package_reference/cli#hf-models-list):
 
@@ -36,7 +35,7 @@ hf models ls --warm --pipeline-tag image-text-to-text --sort trending_score
 
 <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/Qwen3.6-35B-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"}} }
+    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","providerModelId":"glm-4.6v"}} }
 conversational />
 
 

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

@@ -25,7 +25,6 @@ Text Classification is the task of assigning a label or class to a given text. S
 - [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english): A robust model trained for sentiment analysis.
 - [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert): A sentiment analysis model specialized in financial sentiment.
 - [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest): A sentiment analysis model specialized in analyzing tweets.
-- [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection): A model that can classify languages.
 - [meta-llama/Prompt-Guard-86M](https://huggingface.co/meta-llama/Prompt-Guard-86M): A model that can classify text generation attacks.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-classification&sort=trending), or from the terminal with the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/package_reference/cli#hf-models-list):

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

@@ -37,7 +37,7 @@ hf models ls --warm --pipeline-tag text-to-image --sort trending_score
 
 <InferenceSnippet
     pipeline=text-to-image
-    providersMapping={ {"fal-ai":{"modelId":"krea/Krea-2-Turbo","providerModelId":"fal-ai/krea-2/turbo"},"hf-inference":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"nscale":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"replicate":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"together":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"wavespeed":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"wavespeed-ai/flux-dev"}} }
+    providersMapping={ {"fal-ai":{"modelId":"krea/Krea-2-Turbo","providerModelId":"fal-ai/krea-2/turbo"},"hf-inference":{"modelId":"stabilityai/stable-diffusion-3-medium-diffusers","providerModelId":"stabilityai/stable-diffusion-3-medium-diffusers"},"nscale":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"replicate":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"together":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"wavespeed":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"wavespeed-ai/flux-dev"}} }
 />
 
 

docs/inference-providers/tasks/zero-shot-classification.md

@@ -22,7 +22,6 @@ Zero-shot text classification is super useful to try out classification with zer
 
 ### Recommended models
 
-- [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli): Powerful zero-shot text classification model.
 - [MoritzLaurer/ModernBERT-large-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/ModernBERT-large-zeroshot-v2.0): Cutting-edge zero-shot multilingual text classification model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=zero-shot-classification&sort=trending), or from the terminal with the [`hf` CLI](https://huggingface.co/docs/huggingface_hub/package_reference/cli#hf-models-list):