Update Inference Providers documentation (automated) (#2367)

HuggingFaceInfra · Wauplin · web-flow · commit 388fa91cd946 · 2026-04-09T09:47:40.000+02:00
Co-authored-by: Wauplin &lt;11801849+Wauplin@users.noreply.github.com&gt;
diff --git a/docs/inference-providers/providers/fal-ai.md b/docs/inference-providers/providers/fal-ai.md
@@ -67,7 +67,7 @@ Find out more about Image To Image [here](../tasks/image-to-image).
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"Alissonerdx/BFS-Best-Face-Swap","providerModelId":"fal-ai/qwen-image-edit-2511/lora"} } }
+    providersMapping={ {"fal-ai":{"modelId":"fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA","providerModelId":"fal-ai/qwen-image-edit-2511/lora"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/featherless-ai.md b/docs/inference-providers/providers/featherless-ai.md
@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"} } }
+    providersMapping={ {"featherless-ai":{"modelId":"arcee-ai/Trinity-Large-Thinking","providerModelId":"arcee-ai/Trinity-Large-Thinking"} } }
 conversational />
 
 
@@ -69,6 +69,6 @@ Find out more about Text Generation [here](../tasks/text-generation).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"} } }
+    providersMapping={ {"featherless-ai":{"modelId":"arcee-ai/Trinity-Large-Thinking","providerModelId":"arcee-ai/Trinity-Large-Thinking"} } }
 />
 
diff --git a/docs/inference-providers/providers/fireworks-ai.md b/docs/inference-providers/providers/fireworks-ai.md
@@ -46,7 +46,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"fireworks-ai":{"modelId":"zai-org/GLM-5","providerModelId":"accounts/fireworks/models/glm-5"} } }
+    providersMapping={ {"fireworks-ai":{"modelId":"zai-org/GLM-5.1","providerModelId":"accounts/fireworks/models/glm-5p1"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -120,7 +120,7 @@ Find out more about Question Answering [here](../tasks/question-answering).
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"ahotrod/electra_large_discriminator_squad2_512","providerModelId":"ahotrod/electra_large_discriminator_squad2_512"} } }
+    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-large-squad2","providerModelId":"deepset/roberta-large-squad2"} } }
 />
 
 
@@ -130,7 +130,7 @@ Find out more about Summarization [here](../tasks/summarization).
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/medical_summarization","providerModelId":"Falconsai/medical_summarization"} } }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/novita.md b/docs/inference-providers/providers/novita.md
@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"novita":{"modelId":"zai-org/GLM-5.1","providerModelId":"zai-org/glm-5.1"} } }
+    providersMapping={ {"novita":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/glm-5"} } }
 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-dev","providerModelId":"black-forest-labs/flux-2-dev"} } }
+    providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.2-klein-4B","providerModelId":"black-forest-labs/flux-2-klein-4b"} } }
 />
 
 
diff --git a/docs/inference-providers/providers/sambanova.md b/docs/inference-providers/providers/sambanova.md
@@ -41,13 +41,3 @@ Customers are turning to SambaNova to quickly deploy state-of-the-art AI and dee
 
 ## Supported tasks
 
-
-### Chat Completion (LLM)
-
-Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
-
-<InferenceSnippet
-    pipeline=text-generation
-    providersMapping={ {"sambanova":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"Meta-Llama-3.3-70B-Instruct"} } }
-conversational />
-
diff --git a/docs/inference-providers/providers/together.md b/docs/inference-providers/providers/together.md
@@ -47,7 +47,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"together":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/GLM-5"} } }
+    providersMapping={ {"together":{"modelId":"zai-org/GLM-5.1","providerModelId":"zai-org/GLM-5.1"} } }
 conversational />
 
 
@@ -57,7 +57,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"together":{"modelId":"Qwen/Qwen3.5-9B","providerModelId":"Qwen/Qwen3.5-9B"} } }
+    providersMapping={ {"together":{"modelId":"google/gemma-4-31B-it","providerModelId":"google/gemma-4-31B-it"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/zai-org.md b/docs/inference-providers/providers/zai-org.md
@@ -66,7 +66,7 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"} } }
+    providersMapping={ {"zai-org":{"modelId":"zai-org/GLM-4.6V","providerModelId":"glm-4.6v"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -63,7 +63,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"zai-org/GLM-5","providerModelId":"accounts/fireworks/models/glm-5"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"},"novita":{"modelId":"zai-org/GLM-5.1","providerModelId":"zai-org/glm-5.1"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"sambanova":{"modelId":"meta-llama/Llama-3.3-70B-Instruct","providerModelId":"Meta-Llama-3.3-70B-Instruct"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/GLM-5"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
+    providersMapping={ {"cerebras":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama3.1-8b"},"cohere":{"modelId":"CohereLabs/tiny-aya-global","providerModelId":"tiny-aya-global"},"featherless-ai":{"modelId":"arcee-ai/Trinity-Large-Thinking","providerModelId":"arcee-ai/Trinity-Large-Thinking"},"fireworks-ai":{"modelId":"zai-org/GLM-5.1","providerModelId":"accounts/fireworks/models/glm-5p1"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"},"hyperbolic":{"modelId":"deepseek-ai/DeepSeek-R1","providerModelId":"deepseek-ai/DeepSeek-R1"},"novita":{"modelId":"zai-org/GLM-5","providerModelId":"zai-org/glm-5"},"nscale":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Llama-3.1-8B-Instruct"},"ovhcloud":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"publicai":{"modelId":"swiss-ai/Apertus-8B-Instruct-2509","providerModelId":"swiss-ai/apertus-8b-instruct"},"scaleway":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"llama-3.1-8b-instruct"},"together":{"modelId":"zai-org/GLM-5.1","providerModelId":"zai-org/GLM-5.1"},"zai-org":{"modelId":"zai-org/GLM-5.1","providerModelId":"glm-5.1"}} }
 conversational />
 
 
@@ -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":"Qwen/Qwen3.5-9B","providerModelId":"Qwen/Qwen3.5-9B"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
+    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"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
@@ -22,7 +22,6 @@ 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":"Qwen/Qwen3.5-9B","providerModelId":"Qwen/Qwen3.5-9B"},"zai-org":{"modelId":"zai-org/GLM-4.5V","providerModelId":"glm-4.5v"}} }
+    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"}} }
 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":"Alissonerdx/BFS-Best-Face-Swap","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"}} }
+    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"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"ahotrod/electra_large_discriminator_squad2_512","providerModelId":"ahotrod/electra_large_discriminator_squad2_512"}} }
+    providersMapping={ {"hf-inference":{"modelId":"deepset/roberta-large-squad2","providerModelId":"deepset/roberta-large-squad2"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/summarization.md b/docs/inference-providers/tasks/summarization.md
@@ -22,6 +22,7 @@ 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).
@@ -31,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=summarization
-    providersMapping={ {"hf-inference":{"modelId":"Falconsai/medical_summarization","providerModelId":"Falconsai/medical_summarization"}} }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-cnn","providerModelId":"facebook/bart-large-cnn"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
@@ -39,7 +39,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"}} }
+    providersMapping={ {"featherless-ai":{"modelId":"arcee-ai/Trinity-Large-Thinking","providerModelId":"arcee-ai/Trinity-Large-Thinking"},"hf-inference":{"modelId":"katanemo/Arch-Router-1.5B","providerModelId":"katanemo/Arch-Router-1.5B"}} }
 />
 
 
