Merge branch 'update-inference-types-automated-pr' of github.com:hugg…

…ingface/huggingface_hub into update-inference-types-automated-pr

src/huggingface_hub/inference/_client.py

@@ -348,6 +348,7 @@ def audio_classification(
             top_k (`int`, *optional*):
                 When specified, limits the output to the top K most probable classes.
             function_to_apply (`"AudioClassificationOutputTransform"`, *optional*):
+                The function to apply to the model outputs in order to retrieve the scores.
 
         Returns:
             `List[AudioClassificationOutputElement]`: List of [`AudioClassificationOutputElement`] items containing the predicted labels and their confidence.
@@ -1130,6 +1131,7 @@ def image_classification(
                 The model to use for image classification. 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 model for image classification will be used.
             function_to_apply (`"ImageClassificationOutputTransform"`, *optional*):
+                The function to apply to the model outputs in order to retrieve the scores.
             top_k (`int`, *optional*):
                 When specified, limits the output to the top K most probable classes.
         Returns:
@@ -1812,6 +1814,7 @@ def text_classification(
             top_k (`int`, *optional*):
                 When specified, limits the output to the top K most probable classes.
             function_to_apply (`"TextClassificationOutputTransform"`, *optional*):
+                The function to apply to the model outputs in order to retrieve the scores.
 
         Returns:
             `List[TextClassificationOutputElement]`: a list of [`TextClassificationOutputElement`] items containing the predicted label and associated probability.

src/huggingface_hub/inference/_generated/_async_client.py

@@ -381,6 +381,7 @@ async def audio_classification(
             top_k (`int`, *optional*):
                 When specified, limits the output to the top K most probable classes.
             function_to_apply (`"AudioClassificationOutputTransform"`, *optional*):
+                The function to apply to the model outputs in order to retrieve the scores.
 
         Returns:
             `List[AudioClassificationOutputElement]`: List of [`AudioClassificationOutputElement`] items containing the predicted labels and their confidence.
@@ -1175,6 +1176,7 @@ async def image_classification(
                 The model to use for image classification. 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 model for image classification will be used.
             function_to_apply (`"ImageClassificationOutputTransform"`, *optional*):
+                The function to apply to the model outputs in order to retrieve the scores.
             top_k (`int`, *optional*):
                 When specified, limits the output to the top K most probable classes.
         Returns:
@@ -1874,6 +1876,7 @@ async def text_classification(
             top_k (`int`, *optional*):
                 When specified, limits the output to the top K most probable classes.
             function_to_apply (`"TextClassificationOutputTransform"`, *optional*):
+                The function to apply to the model outputs in order to retrieve the scores.
 
         Returns:
             `List[TextClassificationOutputElement]`: a list of [`TextClassificationOutputElement`] items containing the predicted label and associated probability.

src/huggingface_hub/inference/_generated/types/audio_classification.py

@@ -19,6 +19,7 @@ class AudioClassificationParameters(BaseInferenceType):
     """
 
     function_to_apply: Optional["AudioClassificationOutputTransform"] = None
+    """The function to apply to the model outputs in order to retrieve the scores."""
     top_k: Optional[int] = None
     """When specified, limits the output to the top K most probable classes."""
 

src/huggingface_hub/inference/_generated/types/image_classification.py

@@ -19,6 +19,7 @@ class ImageClassificationParameters(BaseInferenceType):
     """
 
     function_to_apply: Optional["ImageClassificationOutputTransform"] = None
+    """The function to apply to the model outputs in order to retrieve the scores."""
     top_k: Optional[int] = None
     """When specified, limits the output to the top K most probable classes."""
 

src/huggingface_hub/inference/_generated/types/text_classification.py

@@ -19,6 +19,7 @@ class TextClassificationParameters(BaseInferenceType):
     """
 
     function_to_apply: Optional["TextClassificationOutputTransform"] = None
+    """The function to apply to the model outputs in order to retrieve the scores."""
     top_k: Optional[int] = None
     """When specified, limits the output to the top K most probable classes."""
 

src/huggingface_hub/inference/_generated/types/video_classification.py

@@ -21,6 +21,7 @@ class VideoClassificationParameters(BaseInferenceType):
     frame_sampling_rate: Optional[int] = None
     """The sampling rate used to select frames from the video."""
     function_to_apply: Optional["VideoClassificationOutputTransform"] = None
+    """The function to apply to the model outputs in order to retrieve the scores."""
     num_frames: Optional[int] = None
     """The number of sampled frames to consider for classification."""
     top_k: Optional[int] = None