Update Inference Providers documentation (automated)

Wauplin · github-actions[bot] · commit 474694248e39 · 2025-08-23T03:21:44.000Z
diff --git a/docs/inference-providers/providers/cohere.md b/docs/inference-providers/providers/cohere.md
@@ -52,7 +52,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/c4ai-command-r-plus","providerModelId":"command-r-plus-04-2024"} } }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-reasoning-08-2025","providerModelId":"command-a-reasoning-08-2025"} } }
 conversational />
 
 
@@ -62,6 +62,6 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"} } }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-8b","providerModelId":"c4ai-aya-vision-8b"} } }
 conversational />
 
diff --git a/docs/inference-providers/providers/fal-ai.md b/docs/inference-providers/providers/fal-ai.md
@@ -60,7 +60,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"fal-ai/flux-kontext/dev"} } }
+    providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -93,7 +93,7 @@ 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":"apple/mobilevit-small","providerModelId":"apple/mobilevit-small"} } }
 />
 
 
@@ -103,7 +103,7 @@ Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"jonathandinu/face-parsing","providerModelId":"jonathandinu/face-parsing"} } }
+    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
 />
 
 
@@ -143,7 +143,7 @@ Find out more about Table Question Answering [here](../tasks/table_question_answ
 
 <InferenceSnippet
     pipeline=table-question-answering
-    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wtq","providerModelId":"google/tapas-base-finetuned-wtq"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google/tapas-large-finetuned-wtq","providerModelId":"google/tapas-large-finetuned-wtq"} } }
 />
 
 
@@ -153,7 +153,7 @@ Find out more about Text Classification [here](../tasks/text_classification).
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"tabularisai/multilingual-sentiment-analysis","providerModelId":"tabularisai/multilingual-sentiment-analysis"} } }
+    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/nebius.md b/docs/inference-providers/providers/nebius.md
@@ -50,7 +50,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"nebius":{"modelId":"Qwen/Qwen3-235B-A22B-Instruct-2507","providerModelId":"Qwen/Qwen3-235B-A22B-Instruct-2507"} } }
+    providersMapping={ {"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"} } }
 conversational />
 
 
@@ -80,7 +80,7 @@ Find out more about Text Generation [here](../tasks/text_generation).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"nebius":{"modelId":"Qwen/Qwen3-235B-A22B-Instruct-2507","providerModelId":"Qwen/Qwen3-235B-A22B-Instruct-2507"} } }
+    providersMapping={ {"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/replicate.md b/docs/inference-providers/providers/replicate.md
@@ -50,7 +50,7 @@ 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"} } }
 />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -22,17 +22,17 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/inference-p
 #### Conversational Large Language Models (LLMs)
 
 - [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
-- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
-- [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
-- [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
-- [simplescaling/s1.1-32B](https://huggingface.co/simplescaling/s1.1-32B): A very powerful model with reasoning capabilities.
+- [Qwen/Qwen3-Coder-480B-A35B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct): Powerful text generation model for coding.
+- [openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b): Great text generation model with top-notch tool calling capabilities.
+- [zai-org/GLM-4.5](https://huggingface.co/zai-org/GLM-4.5): Powerful text generation model.
+- [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507): A powerful small model with reasoning capabilities.
 - [Qwen/Qwen2.5-7B-Instruct-1M](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M): Strong conversational model that supports very long instructions.
 - [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
 - [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1): Powerful reasoning based open large language model.
 
 #### Conversational Vision-Language Models (VLMs)
 
-- [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct): Strong image-text-to-text model.
+- [zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V): Cutting-edge reasoning vision language 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).
 
@@ -64,7 +64,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/c4ai-command-r-plus","providerModelId":"command-r-plus-04-2024"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2-Instruct","providerModelId":"moonshotai/Kimi-K2-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-120b","providerModelId":"accounts/fireworks/models/gpt-oss-120b"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nebius":{"modelId":"Qwen/Qwen3-235B-A22B-Instruct-2507","providerModelId":"Qwen/Qwen3-235B-A22B-Instruct-2507"},"novita":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nscale":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"together":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-reasoning-08-2025","providerModelId":"command-a-reasoning-08-2025"},"featherless-ai":{"modelId":"moonshotai/Kimi-K2-Instruct","providerModelId":"moonshotai/Kimi-K2-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-120b","providerModelId":"accounts/fireworks/models/gpt-oss-120b"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nebius":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"novita":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nscale":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"together":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"}} }
 conversational />
 
 
@@ -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/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"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":"zai-org/GLM-4.5V","providerModelId":"zai-org/glm-4.5v"},"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"},"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-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":"zai-org/GLM-4.5V","providerModelId":"zai-org/glm-4.5v"},"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"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
@@ -24,7 +24,6 @@ For more details about the `image-classification` task, check out its [dedicated
 
 ### Recommended models
 
-- [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224): A strong image classification model.
 - [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224): A robust image classification model.
 - [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224): A strong image classification model.
 
@@ -35,7 +34,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"}} }
+    providersMapping={ {"hf-inference":{"modelId":"apple/mobilevit-small","providerModelId":"apple/mobilevit-small"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
@@ -24,7 +24,6 @@ For more details about the `image-segmentation` task, check out its [dedicated p
 
 ### Recommended models
 
-- [openmmlab/upernet-convnext-small](https://huggingface.co/openmmlab/upernet-convnext-small): Solid semantic segmentation model trained on ADE20k.
 - [facebook/mask2former-swin-large-coco-panoptic](https://huggingface.co/facebook/mask2former-swin-large-coco-panoptic): Panoptic segmentation model trained on the COCO (common objects) dataset.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-segmentation&sort=trending).
@@ -34,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"jonathandinu/face-parsing","providerModelId":"jonathandinu/face-parsing"}} }
+    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md
@@ -24,7 +24,7 @@ For more details about the `image-text-to-text` task, check out its [dedicated p
 
 ### Recommended models
 
-- [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct): Strong image-text-to-text model.
+- [zai-org/GLM-4.5V](https://huggingface.co/zai-org/GLM-4.5V): Cutting-edge reasoning vision language 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).
 
@@ -33,7 +33,7 @@ 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/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"},"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":"zai-org/GLM-4.5V","providerModelId":"zai-org/glm-4.5v"},"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"},"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-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":"zai-org/GLM-4.5V","providerModelId":"zai-org/glm-4.5v"},"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"},"together":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-to-image.md b/docs/inference-providers/tasks/image-to-image.md
@@ -29,6 +29,8 @@ For more details about the `image-to-image` task, check out its [dedicated page]
 
 ### Recommended models
 
+- [black-forest-labs/FLUX.1-Kontext-dev](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev): Powerful image editing model.
+- [kontext-community/relighting-kontext-dev-lora-v3](https://huggingface.co/kontext-community/relighting-kontext-dev-lora-v3): Image re-lighting model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-to-image&sort=trending).
 
@@ -37,7 +39,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"fal-ai/flux-kontext/dev"},"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"}} }
+    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"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/table-question-answering.md b/docs/inference-providers/tasks/table-question-answering.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=table-question-answering
-    providersMapping={ {"hf-inference":{"modelId":"google/tapas-base-finetuned-wtq","providerModelId":"google/tapas-base-finetuned-wtq"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google/tapas-large-finetuned-wtq","providerModelId":"google/tapas-large-finetuned-wtq"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md
@@ -34,7 +34,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"tabularisai/multilingual-sentiment-analysis","providerModelId":"tabularisai/multilingual-sentiment-analysis"}} }
+    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
diff --git a/docs/inference-providers/tasks/text-to-image.md b/docs/inference-providers/tasks/text-to-image.md
diff --git a/docs/inference-providers/tasks/text-to-video.md b/docs/inference-providers/tasks/text-to-video.md
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
diff --git a/scripts/inference-providers/pnpm-lock.yaml b/scripts/inference-providers/pnpm-lock.yaml
