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4 changes: 2 additions & 2 deletions docs/inference-providers/providers/featherless-ai.md
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Expand Up @@ -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 />


Expand All @@ -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"} } }
/>

2 changes: 1 addition & 1 deletion docs/inference-providers/providers/fireworks-ai.md
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Expand Up @@ -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 />


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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":"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"} } }
/>


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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/chat-completion.md
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Expand Up @@ -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 />


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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/feature-extraction.md
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Expand Up @@ -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
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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":"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"}} }
/>


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2 changes: 1 addition & 1 deletion docs/inference-providers/tasks/text-generation.md
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Expand Up @@ -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"}} }
/>


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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": "^4.13.2",
"@huggingface/inference": "^4.13.3",
"@huggingface/tasks": "^0.19.63",
"@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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