Update docstring to clarify download_root and output_dir
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@@ -101,8 +101,8 @@ class WhisperModel:
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having multiple workers enables true parallelism when running the model
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having multiple workers enables true parallelism when running the model
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(concurrent calls to self.model.generate() will run in parallel).
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(concurrent calls to self.model.generate() will run in parallel).
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This can improve the global throughput at the cost of increased memory usage.
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This can improve the global throughput at the cost of increased memory usage.
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download_root: Directory where the model should be saved. If not set, the model
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download_root: Directory where the models should be saved. If not set, the models
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is saved in the standard Hugging Face cache directory.
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are saved in the standard Hugging Face cache directory.
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local_files_only: If True, avoid downloading the file and return the path to the
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local_files_only: If True, avoid downloading the file and return the path to the
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local cached file if it exists.
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local cached file if it exists.
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"""
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"""
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@@ -45,7 +45,7 @@ def download_model(
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size: Size of the model to download (tiny, tiny.en, base, base.en, small, small.en,
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size: Size of the model to download (tiny, tiny.en, base, base.en, small, small.en,
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medium, medium.en, large-v1, or large-v2).
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medium, medium.en, large-v1, or large-v2).
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output_dir: Directory where the model should be saved. If not set, the model is saved in
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output_dir: Directory where the model should be saved. If not set, the model is saved in
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the standard Hugging Face cache directory.
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the cache directory.
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local_files_only: If True, avoid downloading the file and return the path to the local
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local_files_only: If True, avoid downloading the file and return the path to the local
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cached file if it exists.
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cached file if it exists.
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cache_dir: Path to the folder where cached files are stored.
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cache_dir: Path to the folder where cached files are stored.
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