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Oct 9, 2025
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[Bot] Update Inference Providers documentation #1982

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2 changes: 1 addition & 1 deletion docs/inference-providers/providers/cohere.md
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Expand Up @@ -59,6 +59,6 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).

<InferenceSnippet
pipeline=image-text-to-text
providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-8b","providerModelId":"c4ai-aya-vision-8b"} } }
providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"} } }
conversational />

2 changes: 1 addition & 1 deletion docs/inference-providers/providers/hf-inference.md
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Expand Up @@ -130,7 +130,7 @@ Find out more about Summarization [here](../tasks/summarization).

<InferenceSnippet
pipeline=summarization
providersMapping={ {"hf-inference":{"modelId":"Falconsai/text_summarization","providerModelId":"Falconsai/text_summarization"} } }
providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
/>


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2 changes: 1 addition & 1 deletion docs/inference-providers/providers/replicate.md
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Expand Up @@ -57,7 +57,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).

<InferenceSnippet
pipeline=image-to-image
providersMapping={ {"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"} } }
providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"} } }
/>


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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/chat-completion.md
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Expand Up @@ -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-8b","providerModelId":"c4ai-aya-vision-8b"},"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-235B-A22B-Thinking","providerModelId":"qwen/qwen3-vl-235b-a22b-thinking"},"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"}} }
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-235B-A22B-Thinking","providerModelId":"qwen/qwen3-vl-235b-a22b-thinking"},"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"}} }
conversational />


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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/image-text-to-text.md
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Expand Up @@ -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-8b","providerModelId":"c4ai-aya-vision-8b"},"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-235B-A22B-Thinking","providerModelId":"qwen/qwen3-vl-235b-a22b-thinking"},"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"}} }
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-235B-A22B-Thinking","providerModelId":"qwen/qwen3-vl-235b-a22b-thinking"},"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"}} }
conversational />


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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/image-to-image.md
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Expand Up @@ -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":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"},"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"}} }
providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"},"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"}} }
/>


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3 changes: 2 additions & 1 deletion docs/inference-providers/tasks/summarization.md
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Expand Up @@ -22,6 +22,7 @@ Summarization is the task of producing a shorter version of a document while pre

### Recommended models

- [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn): A strong summarization model trained on English news articles. Excels at generating factual summaries.
- [Falconsai/medical_summarization](https://huggingface.co/Falconsai/medical_summarization): A summarization model trained on medical articles.

Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=summarization&sort=trending).
Expand All @@ -31,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/

<InferenceSnippet
pipeline=summarization
providersMapping={ {"hf-inference":{"modelId":"Falconsai/text_summarization","providerModelId":"Falconsai/text_summarization"}} }
providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"}} }
/>


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2 changes: 1 addition & 1 deletion scripts/inference-providers/package.json
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Expand Up @@ -14,7 +14,7 @@
"author": "",
"license": "ISC",
"dependencies": {
"@huggingface/inference": "^4.11.0",
"@huggingface/inference": "^4.11.1",
"@huggingface/tasks": "^0.19.50",
"@types/node": "^22.5.0",
"handlebars": "^4.7.8",
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10 changes: 5 additions & 5 deletions scripts/inference-providers/pnpm-lock.yaml
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