Update Inference Providers documentation (automated) (#2049)

Co-authored-by: Wauplin <[email protected]>

Author: HuggingFaceInfra

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

@@ -100,7 +100,7 @@ Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
+    providersMapping={ {"hf-inference":{"modelId":"nvidia/segformer-b0-finetuned-ade-512-512","providerModelId":"nvidia/segformer-b0-finetuned-ade-512-512"} } }
 />
 
 

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":"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"} } }
 />
 
 

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

@@ -31,7 +31,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"fal-ai":{"modelId":"briaai/RMBG-2.0","providerModelId":"fal-ai/bria/background/remove"},"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"}} }
+    providersMapping={ {"fal-ai":{"modelId":"briaai/RMBG-2.0","providerModelId":"fal-ai/bria/background/remove"},"hf-inference":{"modelId":"nvidia/segformer-b0-finetuned-ade-512-512","providerModelId":"nvidia/segformer-b0-finetuned-ade-512-512"}} }
 />
 
 

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":"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"}} }
+    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"}} }
 />
 
 

docs/inference-providers/tasks/summarization.md

@@ -23,6 +23,7 @@ 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).