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Fix optional model in tabular tasks #2018

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merged 3 commits into from
Feb 7, 2024
Merged

Fix optional model in tabular tasks #2018

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3c5b397
Fix optional model in tabular tasks
Wauplin Feb 6, 2024
78a2b75
Apply suggestions from code review
Wauplin Feb 7, 2024
766829b
make style
Wauplin Feb 7, 2024
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make style
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@Wauplin
Wauplin committed Feb 7, 2024
commit 766829bfae73ef0178c7e304537d71858c720b3c
4 changes: 2 additions & 2 deletions src/huggingface_hub/inference/_generated/_async_client.py
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Expand Up @@ -1089,7 +1089,7 @@ async def tabular_classification(self, table: Dict[str, Any], *, model: Optional
Set of attributes to classify.
model (`str`, *optional*):
The model to use for the tabular classification task. Can be a model ID hosted on the Hugging Face Hub or a URL to
a deployed Inference Endpoint. If not provided, the default recommended text classification model will be used.
a deployed Inference Endpoint. If not provided, the default recommended tabular classification model will be used.
Defaults to None.

Returns:
Expand Down Expand Up @@ -1135,7 +1135,7 @@ async def tabular_regression(self, table: Dict[str, Any], *, model: Optional[str
Set of attributes stored in a table. The attributes used to predict the target can be both numerical and categorical.
model (`str`, *optional*):
The model to use for the tabular regression task. Can be a model ID hosted on the Hugging Face Hub or a URL to
a deployed Inference Endpoint. If not provided, the default recommended text classification model will be used.
a deployed Inference Endpoint. If not provided, the default recommended tabular regression model will be used.
Defaults to None.

Returns:
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