[Bot] Update Inference Providers documentation

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

@@ -99,6 +99,16 @@ 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).
@@ -115,7 +125,7 @@ Find out more about Text Classification [here](../tasks/text_classification).
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"} } }
+    providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"} } }
 />
 
 
@@ -139,23 +149,13 @@ Find out more about Text To Image [here](../tasks/text_to_image).
 />
 
 
-### Token Classification
-
-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"} } }
-/>
-
-
 ### Translation
 
 Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/mbart-large-50-many-to-many-mmt","providerModelId":"facebook/mbart-large-50-many-to-many-mmt"} } }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"} } }
 />
 
 

docs/inference-providers/tasks/question-answering.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=question-answering
+    providersMapping={ {"hf-inference":{"modelId":"deepset/bert-large-uncased-whole-word-masking-squad2","providerModelId":"deepset/bert-large-uncased-whole-word-masking-squad2"}} }
+/>
 
 
 

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

@@ -24,10 +24,6 @@ For more details about the `text-classification` task, check out its [dedicated
 
 ### Recommended models
 
-- [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english): A robust model trained for sentiment analysis.
-- [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert): A sentiment analysis model specialized in financial sentiment.
-- [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest): A sentiment analysis model specialized in analyzing tweets.
-- [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection): A model that can classify languages.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-classification&sort=trending).
 
@@ -36,7 +32,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"}} }
+    providersMapping={ {"hf-inference":{"modelId":"j-hartmann/emotion-english-distilroberta-base","providerModelId":"j-hartmann/emotion-english-distilroberta-base"}} }
 />
 
 

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

@@ -24,18 +24,13 @@ For more details about the `token-classification` task, check out its [dedicated
 
 ### Recommended models
 
-- [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.
-- [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).
 
 ### Using the API
 
 
-<InferenceSnippet
-    pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"dslim/bert-base-NER","providerModelId":"dslim/bert-base-NER"}} }
-/>
+No snippet available for this task.
 
 
 

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/mbart-large-50-many-to-many-mmt","providerModelId":"facebook/mbart-large-50-many-to-many-mmt"}} }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/nllb-200-distilled-600M","providerModelId":"facebook/nllb-200-distilled-600M"}} }
 />
 
 

scripts/inference-providers/package.json

@@ -15,7 +15,7 @@
   "license": "ISC",
   "dependencies": {
     "@huggingface/inference": "^3.8.1",
-    "@huggingface/tasks": "^0.18.8",
+    "@huggingface/tasks": "^0.18.9",
     "@types/node": "^22.5.0",
     "handlebars": "^4.7.8",
     "node": "^20.17.0",