Update Inference Providers documentation (automated) (#1907)

Co-authored-by: Wauplin <[email protected]>

Author: HuggingFaceInfra

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":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"} } }
+    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"} } }
 />
 
 
@@ -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":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
+    providersMapping={ {"hf-inference":{"modelId":"knowledgator/comprehend_it-base","providerModelId":"knowledgator/comprehend_it-base"} } }
 />
 

docs/inference-providers/providers/replicate.md

@@ -70,6 +70,6 @@ Find out more about Text To Video [here](../tasks/text_to_video).
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"} } }
+    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"wan-video/wan-2.2-t2v-fast"} } }
 />
 

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

@@ -24,7 +24,6 @@ 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/text-to-video.md

@@ -35,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"fal-ai/wan/v2.2-a14b/text-to-video"},"novita":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"wan-t2v"},"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"}} }
+    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"fal-ai/wan/v2.2-a14b/text-to-video"},"novita":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"wan-t2v"},"replicate":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"wan-video/wan-2.2-t2v-fast"}} }
 />
 
 

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

@@ -26,7 +26,6 @@ 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).
 
@@ -35,7 +34,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"}} }
+    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"}} }
 />
 
 

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

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