Update Inference Providers documentation (automated)

Wauplin · github-actions[bot] · commit c17bac1f6cf7 · 2025-04-26T03:19:03.000Z
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
@@ -75,7 +75,7 @@ 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":"guidecare/all-mpnet-base-v2-feature-extraction","providerModelId":"guidecare/all-mpnet-base-v2-feature-extraction"} } }
 />
 
 
@@ -99,16 +99,6 @@ Find out more about Object Detection [here](../tasks/object_detection).
 />
 
 
-### Question Answering
-
-Find out more about Question Answering [here](../tasks/question_answering).
-
-<InferenceSnippet
-    pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"} } }
-/>
-
-
 ### Summarization
 
 Find out more about Summarization [here](../tasks/summarization).
@@ -125,7 +115,7 @@ Find out more about Text Classification [here](../tasks/text_classification).
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"} } }
+    providersMapping={ {"hf-inference":{"modelId":"SamLowe/roberta-base-go_emotions","providerModelId":"SamLowe/roberta-base-go_emotions"} } }
 />
 
 
@@ -149,22 +139,22 @@ Find out more about Text To Image [here](../tasks/text_to_image).
 />
 
 
-### Translation
+### Token Classification
 
-Find out more about Translation [here](../tasks/translation).
+Find out more about Token Classification [here](../tasks/token_classification).
 
 <InferenceSnippet
-    pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"} } }
+    pipeline=token-classification
+    providersMapping={ {"hf-inference":{"modelId":"Pavarissy/phayathaibert-thainer","providerModelId":"Pavarissy/phayathaibert-thainer"} } }
 />
 
 
-### Zero Shot Classification
+### Translation
 
-Find out more about Zero Shot Classification [here](../tasks/zero_shot_classification).
+Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
-    pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
+    pipeline=translation
+    providersMapping={ {"hf-inference":{"modelId":"facebook/mbart-large-50-many-to-many-mmt","providerModelId":"facebook/mbart-large-50-many-to-many-mmt"} } }
 />
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
@@ -22,7 +22,6 @@ This is a subtask of [`text-generation`](https://huggingface.co/docs/inference-p
 #### Conversational Large Language Models (LLMs)
 
 - [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
-- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
 - [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
 - [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
 - [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
diff --git a/docs/inference-providers/tasks/feature-extraction.md b/docs/inference-providers/tasks/feature-extraction.md
@@ -37,7 +37,7 @@ 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"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
+    providersMapping={ {"hf-inference":{"modelId":"guidecare/all-mpnet-base-v2-feature-extraction","providerModelId":"guidecare/all-mpnet-base-v2-feature-extraction"},"sambanova":{"modelId":"intfloat/e5-mistral-7b-instruct","providerModelId":"E5-Mistral-7B-Instruct"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
@@ -30,10 +30,7 @@ Explore all available models and find the one that suits you best [here](https:/
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=question-answering
-    providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"}} }
-/>
+No snippet available for this task.
 
 
 
diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md
@@ -32,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"}} }
+    providersMapping={ {"hf-inference":{"modelId":"SamLowe/roberta-base-go_emotions","providerModelId":"SamLowe/roberta-base-go_emotions"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
@@ -27,7 +27,6 @@ For more details about the `text-generation` task, check out its [dedicated page
 ### Recommended models
 
 - [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it): A text-generation model trained to follow instructions.
-- [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B): Smaller variant of one of the most powerful models.
 - [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct): Very powerful text generation model trained to follow instructions.
 - [microsoft/phi-4](https://huggingface.co/microsoft/phi-4): Powerful text generation model by Microsoft.
 - [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct): Text generation model used to write code.
diff --git a/docs/inference-providers/tasks/text-to-image.md b/docs/inference-providers/tasks/text-to-image.md
@@ -25,6 +25,7 @@ For more details about the `text-to-image` task, check out its [dedicated page](
 ### Recommended models
 
 - [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.
 
diff --git a/docs/inference-providers/tasks/token-classification.md b/docs/inference-providers/tasks/token-classification.md
@@ -30,7 +30,10 @@ Explore all available models and find the one that suits you best [here](https:/
 ### Using the API
 
 
-No snippet available for this task.
+<InferenceSnippet
+    pipeline=token-classification
+    providersMapping={ {"hf-inference":{"modelId":"Pavarissy/phayathaibert-thainer","providerModelId":"Pavarissy/phayathaibert-thainer"}} }
+/>
 
 
 
diff --git a/docs/inference-providers/tasks/translation.md b/docs/inference-providers/tasks/translation.md
@@ -32,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"}} }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/mbart-large-50-many-to-many-mmt","providerModelId":"facebook/mbart-large-50-many-to-many-mmt"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/zero-shot-classification.md b/docs/inference-providers/tasks/zero-shot-classification.md
@@ -24,17 +24,13 @@ For more details about the `zero-shot-classification` task, check out its [dedic
 
 ### Recommended models
 
-- [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli): Powerful zero-shot text classification model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=zero-shot-classification&sort=trending).
 
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
-/>
+No snippet available for this task.
 
 
 
diff --git a/scripts/inference-providers/package.json b/scripts/inference-providers/package.json
@@ -14,8 +14,8 @@
   "author": "",
   "license": "ISC",
   "dependencies": {
-    "@huggingface/inference": "^3.8.1",
-    "@huggingface/tasks": "^0.18.9",
+    "@huggingface/inference": "^3.9.2",
+    "@huggingface/tasks": "^0.18.11",
     "@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
