Update Inference Providers documentation (automated)

Author: Wauplin

docs/inference-providers/providers/fal-ai.md

@@ -60,7 +60,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"} } }
+    providersMapping={ {"fal-ai":{"modelId":"thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA","providerModelId":"fal-ai/flux-kontext-lora"} } }
 />
 
 

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

@@ -183,7 +183,7 @@ Find out more about Token Classification [here](../tasks/token_classification).
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
+    providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"} } }
 />
 
 
@@ -203,6 +203,6 @@ Find out more about Zero Shot Classification [here](../tasks/zero_shot_classific
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"knowledgator/comprehend_it-base","providerModelId":"knowledgator/comprehend_it-base"} } }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
 />
 

docs/inference-providers/providers/replicate.md

@@ -50,7 +50,7 @@ Find out more about Image To Image [here](../tasks/image_to_image).
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"} } }
+    providersMapping={ {"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"} } }
 />
 
 

docs/inference-providers/tasks/fill-mask.md

@@ -24,6 +24,7 @@ For more details about the `fill-mask` task, check out its [dedicated page](http
 
 ### Recommended models
 
+- [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base): A multilingual model trained on 100 languages.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=fill-mask&sort=trending).
 

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

@@ -24,7 +24,6 @@ For more details about the `image-segmentation` task, check out its [dedicated p
 
 ### 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).
 

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

@@ -39,7 +39,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-to-image
-    providersMapping={ {"fal-ai":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"fal-ai/qwen-image-edit"},"replicate":{"modelId":"Qwen/Qwen-Image-Edit","providerModelId":"qwen/qwen-image-edit"}} }
+    providersMapping={ {"fal-ai":{"modelId":"thedeoxen/FLUX.1-Kontext-dev-reference-depth-fusion-LORA","providerModelId":"fal-ai/flux-kontext-lora"},"replicate":{"modelId":"black-forest-labs/FLUX.1-Kontext-dev","providerModelId":"black-forest-labs/flux-kontext-dev"}} }
 />
 
 

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

@@ -26,6 +26,7 @@ For more details about the `token-classification` task, check out its [dedicated
 
 - [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER): A robust performance model to identify people, locations, organizations and names of miscellaneous entities.
 - [FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english): A strong model to identify people, locations, organizations and names in multiple languages.
+- [blaze999/Medical-NER](https://huggingface.co/blaze999/Medical-NER): A token classification model specialized on medical entity recognition.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=token-classification&sort=trending).
 
@@ -34,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"}} }
+    providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"}} }
 />
 
 

docs/inference-providers/tasks/zero-shot-classification.md

@@ -24,6 +24,7 @@ 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).
 
@@ -32,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"knowledgator/comprehend_it-base","providerModelId":"knowledgator/comprehend_it-base"}} }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
 />
 
 

scripts/inference-providers/package.json

@@ -15,7 +15,7 @@
   "license": "ISC",
   "dependencies": {
     "@huggingface/inference": "^4.7.1",
-    "@huggingface/tasks": "^0.19.43",
+    "@huggingface/tasks": "^0.19.44",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
     "node": "^20.17.0",