Update Inference Providers documentation (automated) (#2370)

HuggingFaceInfra · Wauplin · web-flow · commit 170dd593bb70 · 2026-04-10T09:39:59.000+02:00
Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
diff --git a/docs/inference-providers/providers/novita.md b/docs/inference-providers/providers/novita.md
@@ -59,6 +59,6 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"} } }
+    providersMapping={ {"novita":{"modelId":"Qwen/Qwen3.5-35B-A3B","providerModelId":"qwen/qwen3.5-35b-a3b"} } }
 conversational />
 
diff --git a/docs/inference-providers/providers/replicate.md b/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.2-klein-4B","providerModelId":"black-forest-labs/flux-2-klein-4b"} } }
+    providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.2-dev","providerModelId":"black-forest-labs/flux-2-dev"} } }
 />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -73,7 +73,7 @@ conversational />
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"Qwen/Qwen3.5-35B-A3B","providerModelId":"qwen/qwen3.5-35b-a3b"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
@@ -22,6 +22,7 @@ Image Segmentation divides an image into segments where each pixel in the image
 
 ### Recommended models
 
+- [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).
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md
@@ -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={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31b-it"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"}} }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"},"featherless-ai":{"modelId":"Qwen/Qwen3.5-27B","providerModelId":"Qwen/Qwen3.5-27B"},"fireworks-ai":{"modelId":"moonshotai/Kimi-K2.5","providerModelId":"accounts/fireworks/models/kimi-k2p5"},"groq":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/llama-4-scout-17b-16e-instruct"},"novita":{"modelId":"Qwen/Qwen3.5-35B-A3B","providerModelId":"qwen/qwen3.5-35b-a3b"},"nscale":{"modelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct","providerModelId":"meta-llama/Llama-4-Scout-17B-16E-Instruct"},"ovhcloud":{"modelId":"Qwen/Qwen2.5-VL-72B-Instruct","providerModelId":"Qwen2.5-VL-72B-Instruct"},"scaleway":{"modelId":"Qwen/Qwen3.5-397B-A17B","providerModelId":"qwen3.5-397b-a17b"},"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"},"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-to-image.md b/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":"fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA","providerModelId":"fal-ai/qwen-image-edit-2511/lora"},"replicate":{"modelId":"black-forest-labs/FLUX.2-klein-4B","providerModelId":"black-forest-labs/flux-2-klein-4b"},"wavespeed":{"modelId":"black-forest-labs/FLUX.2-dev","providerModelId":"wavespeed-ai/flux-2-dev/edit"}} }
+    providersMapping={ {"fal-ai":{"modelId":"fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA","providerModelId":"fal-ai/qwen-image-edit-2511/lora"},"replicate":{"modelId":"black-forest-labs/FLUX.2-dev","providerModelId":"black-forest-labs/flux-2-dev"},"wavespeed":{"modelId":"black-forest-labs/FLUX.2-dev","providerModelId":"wavespeed-ai/flux-2-dev/edit"}} }
 />
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
@@ -15,7 +15,7 @@
   "license": "ISC",
   "dependencies": {
     "@huggingface/inference": "^4.13.15",
-    "@huggingface/tasks": "^0.20.12",
+    "@huggingface/tasks": "^0.20.13",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
     "node": "^20.17.0",
diff --git a/scripts/inference-providers/pnpm-lock.yaml b/scripts/inference-providers/pnpm-lock.yaml

Original file line number	Diff line number	Diff line change
`@@ -22,6 +22,7 @@ Image Segmentation divides an image into segments where each pixel in the image`
`22`	`22`
`23`	`23`	`### Recommended models`
`24`	`24`
	`25`	`+- [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.`
`25`	`26`
`26`	`27`	`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).`
`27`	`28`