diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
index 39fc1a38b..fff7ae27e 100644
--- a/docs/inference-providers/providers/hf-inference.md
+++ b/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"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/together.md b/docs/inference-providers/providers/together.md
index 677fdd9e8..8ccce4cfa 100644
--- a/docs/inference-providers/providers/together.md
+++ b/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).
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
index cc68b01fd..6dd81d838 100644
--- a/docs/inference-providers/tasks/image-classification.md
+++ b/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"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
index 4467e4fd7..197800740 100644
--- a/docs/inference-providers/tasks/image-segmentation.md
+++ b/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"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/summarization.md b/docs/inference-providers/tasks/summarization.md
index 6d3994406..001d1878c 100644
--- a/docs/inference-providers/tasks/summarization.md
+++ b/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"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
index 41474061a..1e350e2fe 100644
--- a/docs/inference-providers/tasks/text-generation.md
+++ b/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"}} }
 />
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
index 1da29b5e8..89eb31d54 100644
--- a/scripts/inference-providers/package.json
+++ b/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",
diff --git a/scripts/inference-providers/pnpm-lock.yaml b/scripts/inference-providers/pnpm-lock.yaml
index 5957553a3..d8825f0ce 100644
--- a/scripts/inference-providers/pnpm-lock.yaml
+++ b/scripts/inference-providers/pnpm-lock.yaml
@@ -9,11 +9,11 @@ importers:
   .:
     dependencies:
       '@huggingface/inference':
-        specifier: ^4.0.2
-        version: 4.0.2
+        specifier: ^4.0.3
+        version: 4.0.3
       '@huggingface/tasks':
-        specifier: ^0.19.11
-        version: 0.19.11
+        specifier: ^0.19.12
+        version: 0.19.12
       '@types/node':
         specifier: ^22.5.0
         version: 22.5.0
@@ -189,16 +189,16 @@ packages:
     cpu: [x64]
     os: [win32]
 
-  '@huggingface/inference@4.0.2':
-    resolution: {integrity: sha512-XuWb8ocH7lA5kSdXrGnqshtRz3ocSBzEzxcp5xeAXLjgM1ocoIHq+RW8/Ti0xq3MeRGQWgUkYPCgDV/xgs8p4g==}
+  '@huggingface/inference@4.0.3':
+    resolution: {integrity: sha512-TE1IvY+4DQJhjpJsFdBqDHu0Jg+p/+9G5UmW3hmLBcUJzy7P4J0yZky+VFniSVxI8dFA4eKKcW8/uYD+yZM9NA==}
     engines: {node: '>=18'}
 
   '@huggingface/jinja@0.5.0':
     resolution: {integrity: sha512-Ptc03/jGRiYRoi0bUYKZ14MkDslsBRT24oxmsvUlfYrvQMldrxCevhPnT+hfX8awKTT8/f/0ZBBWldoeAcMHdQ==}
     engines: {node: '>=18'}
 
-  '@huggingface/tasks@0.19.11':
-    resolution: {integrity: sha512-oBhSgVlg7Pp643MsH8BiI3OAXIMJNxdSiMtv4mApRZV8dmAz8oasKhg6CVKIplO7vAO7F6dkmMn4bYM64I2A9w==}
+  '@huggingface/tasks@0.19.12':
+    resolution: {integrity: sha512-rg5+phoJg7SCqbUx9O9I+bfZkZBf6rqf2XGuN7M+uuwBSO4zO3V9s/Iqein1QSEhktR4g5OVBUZimodkX4ISkg==}
 
   '@jridgewell/resolve-uri@3.1.2':
     resolution: {integrity: sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw==}
@@ -415,14 +415,14 @@ snapshots:
   '@esbuild/win32-x64@0.23.1':
     optional: true
 
-  '@huggingface/inference@4.0.2':
+  '@huggingface/inference@4.0.3':
     dependencies:
       '@huggingface/jinja': 0.5.0
-      '@huggingface/tasks': 0.19.11
+      '@huggingface/tasks': 0.19.12
 
   '@huggingface/jinja@0.5.0': {}
 
-  '@huggingface/tasks@0.19.11': {}
+  '@huggingface/tasks@0.19.12': {}
 
   '@jridgewell/resolve-uri@3.1.2': {}