[Bot] Update Inference Providers documentation

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

@@ -95,7 +95,7 @@ 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":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"} } }
 />
 
 
@@ -105,7 +105,7 @@ Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-101-panoptic","providerModelId":"facebook/detr-resnet-101-panoptic"} } }
+    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
 />
 
 
@@ -135,7 +135,7 @@ Find out more about Summarization [here](../tasks/summarization).
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
+    providersMapping={ {"hf-inference":{"modelId":"eenzeenee/t5-base-korean-summarization","providerModelId":"eenzeenee/t5-base-korean-summarization"} } }
 />
 
 

docs/inference-providers/providers/together.md

@@ -58,6 +58,16 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 conversational />
 
 
+### Text Generation
+
+Find out more about Text Generation [here](../tasks/text_generation).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"together":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1"} } }
+/>
+
+
 ### Text To Image
 
 Find out more about Text To Image [here](../tasks/text_to_image).

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

@@ -35,7 +35,7 @@ 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":"google/vit-base-patch16-224","providerModelId":"google/vit-base-patch16-224"}} }
 />
 
 

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

@@ -24,6 +24,7 @@ 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).
@@ -33,7 +34,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-101-panoptic","providerModelId":"facebook/detr-resnet-101-panoptic"}} }
+    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"}} }
 />
 
 

docs/inference-providers/tasks/summarization.md

@@ -24,7 +24,6 @@ For more details about the `summarization` task, check out its [dedicated page](
 
 ### 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).
@@ -34,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"}} }
+    providersMapping={ {"hf-inference":{"modelId":"eenzeenee/t5-base-korean-summarization","providerModelId":"eenzeenee/t5-base-korean-summarization"}} }
 />
 
 

docs/inference-providers/tasks/text-generation.md

@@ -41,7 +41,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"hf-inference":{"modelId":"sarvamai/sarvam-m","providerModelId":"sarvamai/sarvam-m"}} }
+    providersMapping={ {"hf-inference":{"modelId":"sarvamai/sarvam-m","providerModelId":"sarvamai/sarvam-m"},"together":{"modelId":"deepseek-ai/DeepSeek-R1-0528","providerModelId":"deepseek-ai/DeepSeek-R1"}} }
 />
 
 

scripts/inference-providers/package.json

@@ -14,8 +14,8 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^4.0.2",
-    "@huggingface/tasks": "^0.19.11",
+    "@huggingface/inference": "^4.0.3",
+    "@huggingface/tasks": "^0.19.12",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
     "node": "^20.17.0",