From 4f799c92452894cb878e41fa0b10be4b3a2f6746 Mon Sep 17 00:00:00 2001
From: Wauplin <11801849+Wauplin@users.noreply.github.com>
Date: Sat, 5 Jul 2025 03:26:51 +0000
Subject: [PATCH] Update Inference Providers documentation (automated)

---
 .../providers/hf-inference.md                 | 42 ++++++++++++++++++-
 .../tasks/automatic-speech-recognition.md     |  2 +-
 .../tasks/chat-completion.md                  |  2 +-
 .../tasks/feature-extraction.md               |  2 +-
 .../tasks/image-segmentation.md               |  1 +
 .../tasks/image-text-to-text.md               |  2 +-
 .../tasks/object-detection.md                 |  6 ++-
 .../tasks/text-to-image.md                    |  3 +-
 scripts/inference-providers/package.json      |  2 +-
 scripts/inference-providers/pnpm-lock.yaml    | 10 ++---
 10 files changed, 59 insertions(+), 13 deletions(-)

diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
index aba1a0ad8..355909840 100644
--- a/docs/inference-providers/providers/hf-inference.md
+++ b/docs/inference-providers/providers/hf-inference.md
@@ -45,13 +45,33 @@ If you are interested in deploying models to a dedicated and autoscaling infrast
 ## Supported tasks
 
 
+### Automatic Speech Recognition
+
+Find out more about Automatic Speech Recognition [here](../tasks/automatic_speech_recognition).
+
+<InferenceSnippet
+    pipeline=automatic-speech-recognition
+    providersMapping={ {"hf-inference":{"modelId":"openai/whisper-large-v3","providerModelId":"openai/whisper-large-v3"} } }
+/>
+
+
+### Chat Completion (VLM)
+
+Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=image-text-to-text
+    providersMapping={ {"hf-inference":{"modelId":"meta-llama/Llama-3.2-11B-Vision-Instruct","providerModelId":"meta-llama/Llama-3.2-11B-Vision-Instruct"} } }
+conversational />
+
+
 ### Feature Extraction
 
 Find out more about Feature Extraction [here](../tasks/feature_extraction).
 
 <InferenceSnippet
     pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"} } }
+    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"} } }
 />
 
 
@@ -85,6 +105,16 @@ Find out more about Image Segmentation [here](../tasks/image_segmentation).
 />
 
 
+### Object Detection
+
+Find out more about Object Detection [here](../tasks/object_detection).
+
+<InferenceSnippet
+    pipeline=object-detection
+    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"} } }
+/>
+
+
 ### Question Answering
 
 Find out more about Question Answering [here](../tasks/question_answering).
@@ -125,6 +155,16 @@ Find out more about Text Classification [here](../tasks/text_classification).
 />
 
 
+### Text To Image
+
+Find out more about Text To Image [here](../tasks/text_to_image).
+
+<InferenceSnippet
+    pipeline=text-to-image
+    providersMapping={ {"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"} } }
+/>
+
+
 ### Token Classification
 
 Find out more about Token Classification [here](../tasks/token_classification).
diff --git a/docs/inference-providers/tasks/automatic-speech-recognition.md b/docs/inference-providers/tasks/automatic-speech-recognition.md
index 9ac44cb83..18c5acbf9 100644
--- a/docs/inference-providers/tasks/automatic-speech-recognition.md
+++ b/docs/inference-providers/tasks/automatic-speech-recognition.md
@@ -38,7 +38,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=automatic-speech-recognition
-    providersMapping={ {"fal-ai":{"modelId":"openai/whisper-large-v3","providerModelId":"fal-ai/whisper"}} }
+    providersMapping={ {"fal-ai":{"modelId":"openai/whisper-large-v3","providerModelId":"fal-ai/whisper"},"hf-inference":{"modelId":"openai/whisper-large-v3","providerModelId":"openai/whisper-large-v3"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
index 50dc903a6..13bd80bd5 100644
--- 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={ {"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":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-it","providerModelId":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-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":"baidu/ERNIE-4.5-VL-424B-A47B-Base-PT","providerModelId":"baidu/ernie-4.5-vl-424b-a47b"},"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":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-it","providerModelId":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-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"},"hf-inference":{"modelId":"meta-llama/Llama-3.2-11B-Vision-Instruct","providerModelId":"meta-llama/Llama-3.2-11B-Vision-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":"baidu/ERNIE-4.5-VL-424B-A47B-Base-PT","providerModelId":"baidu/ernie-4.5-vl-424b-a47b"},"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/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md
index bc7f88aae..475aebfe1 100644
--- a/docs/inference-providers/tasks/feature-extraction.md
+++ b/docs/inference-providers/tasks/feature-extraction.md
@@ -38,7 +38,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=feature-extraction
-    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large-instruct","providerModelId":"intfloat/multilingual-e5-large-instruct"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
+    providersMapping={ {"hf-inference":{"modelId":"intfloat/multilingual-e5-large","providerModelId":"intfloat/multilingual-e5-large"},"nebius":{"modelId":"Qwen/Qwen3-Embedding-8B","providerModelId":"Qwen/Qwen3-Embedding-8B"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
index a5ddc59b2..197800740 100644
--- a/docs/inference-providers/tasks/image-segmentation.md
+++ b/docs/inference-providers/tasks/image-segmentation.md
@@ -25,6 +25,7 @@ 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).
 
diff --git a/docs/inference-providers/tasks/image-text-to-text.md b/docs/inference-providers/tasks/image-text-to-text.md
index 340bba7d6..1af52a723 100644
--- a/docs/inference-providers/tasks/image-text-to-text.md
+++ b/docs/inference-providers/tasks/image-text-to-text.md
@@ -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/aya-vision-8b","providerModelId":"c4ai-aya-vision-8b"},"featherless-ai":{"modelId":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-it","providerModelId":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-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":"baidu/ERNIE-4.5-VL-424B-A47B-Base-PT","providerModelId":"baidu/ernie-4.5-vl-424b-a47b"},"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":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-it","providerModelId":"CEIA-UFG/Gemma-3-Gaia-PT-BR-4b-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"},"hf-inference":{"modelId":"meta-llama/Llama-3.2-11B-Vision-Instruct","providerModelId":"meta-llama/Llama-3.2-11B-Vision-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":"baidu/ERNIE-4.5-VL-424B-A47B-Base-PT","providerModelId":"baidu/ernie-4.5-vl-424b-a47b"},"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/object-detection.md b/docs/inference-providers/tasks/object-detection.md
index 299a41788..3c36c4081 100644
--- a/docs/inference-providers/tasks/object-detection.md
+++ b/docs/inference-providers/tasks/object-detection.md
@@ -24,13 +24,17 @@ For more details about the `object-detection` task, check out its [dedicated pag
 
 ### Recommended models
 
+- [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50): Solid object detection model pre-trained on the COCO 2017 dataset.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=object-detection&sort=trending).
 
 ### Using the API
 
 
-There are currently no snippet examples for the **object-detection** task, as no providers support it yet.
+<InferenceSnippet
+    pipeline=object-detection
+    providersMapping={ {"hf-inference":{"modelId":"facebook/detr-resnet-50","providerModelId":"facebook/detr-resnet-50"}} }
+/>
 
 
 
diff --git a/docs/inference-providers/tasks/text-to-image.md b/docs/inference-providers/tasks/text-to-image.md
index ca89eae86..aed8e3c14 100644
--- a/docs/inference-providers/tasks/text-to-image.md
+++ b/docs/inference-providers/tasks/text-to-image.md
@@ -27,6 +27,7 @@ For more details about the `text-to-image` task, check out its [dedicated page](
 - [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev): One of the most powerful image generation models that can generate realistic outputs.
 - [latent-consistency/lcm-lora-sdxl](https://huggingface.co/latent-consistency/lcm-lora-sdxl): A powerful yet fast image generation model.
 - [Kwai-Kolors/Kolors](https://huggingface.co/Kwai-Kolors/Kolors): Text-to-image model for photorealistic generation.
+- [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers): A powerful text-to-image model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-to-image&sort=trending).
 
@@ -35,7 +36,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-image
-    providersMapping={ {"fal-ai":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"fal-ai/flux/dev"},"nebius":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"nscale":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"replicate":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"together":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"}} }
+    providersMapping={ {"fal-ai":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"fal-ai/flux/dev"},"hf-inference":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"},"nebius":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"nscale":{"modelId":"black-forest-labs/FLUX.1-schnell","providerModelId":"black-forest-labs/FLUX.1-schnell"},"replicate":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/flux-dev"},"together":{"modelId":"black-forest-labs/FLUX.1-dev","providerModelId":"black-forest-labs/FLUX.1-dev"}} }
 />
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
index 2fd2d50e5..0298ebcef 100644
--- a/scripts/inference-providers/package.json
+++ b/scripts/inference-providers/package.json
@@ -14,7 +14,7 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^4.3.1",
+    "@huggingface/inference": "^4.3.2",
     "@huggingface/tasks": "^0.19.22",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
diff --git a/scripts/inference-providers/pnpm-lock.yaml b/scripts/inference-providers/pnpm-lock.yaml
index eec166721..36efe78c1 100644
--- a/scripts/inference-providers/pnpm-lock.yaml
+++ b/scripts/inference-providers/pnpm-lock.yaml
@@ -9,8 +9,8 @@ importers:
   .:
     dependencies:
       '@huggingface/inference':
-        specifier: ^4.3.1
-        version: 4.3.1
+        specifier: ^4.3.2
+        version: 4.3.2
       '@huggingface/tasks':
         specifier: ^0.19.22
         version: 0.19.22
@@ -189,8 +189,8 @@ packages:
     cpu: [x64]
     os: [win32]
 
-  '@huggingface/inference@4.3.1':
-    resolution: {integrity: sha512-wn5ErcX+HTeAYfNIkgjl6pkzGvTeskKRoCFodSmEfa+SmZnMo0/YDP46Ivnz2JV6DJwMd3naOtgYH6WZVD3qoQ==}
+  '@huggingface/inference@4.3.2':
+    resolution: {integrity: sha512-c7MJJPDbhb0Xy3JHvO3LaRhCDnfAthdmV3UiLCYH440UkIkECGwaLHAsWg9G2gdUrmcfzybZvZ0lAQhwsiTKnA==}
     engines: {node: '>=18'}
 
   '@huggingface/jinja@0.5.0':
@@ -415,7 +415,7 @@ snapshots:
   '@esbuild/win32-x64@0.23.1':
     optional: true
 
-  '@huggingface/inference@4.3.1':
+  '@huggingface/inference@4.3.2':
     dependencies:
       '@huggingface/jinja': 0.5.0
       '@huggingface/tasks': 0.19.22