Add large-v1 model
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@@ -69,7 +69,7 @@ class WhisperModel:
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Args:
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Args:
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model_size_or_path: Size of the model to use (tiny, tiny.en, base, base.en,
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model_size_or_path: Size of the model to use (tiny, tiny.en, base, base.en,
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small, small.en, medium, medium.en, or large-v2) or a path to a converted
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small, small.en, medium, medium.en, large-v1, or large-v2) or a path to a converted
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model directory. When a size is configured, the converted model is downloaded
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model directory. When a size is configured, the converted model is downloaded
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from the Hugging Face Hub.
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from the Hugging Face Hub.
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device: Device to use for computation ("cpu", "cuda", "auto").
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device: Device to use for computation ("cpu", "cuda", "auto").
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@@ -13,6 +13,7 @@ _MODELS = (
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"small",
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"small",
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"medium.en",
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"medium.en",
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"medium",
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"medium",
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"large-v1",
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"large-v2",
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"large-v2",
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)
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)
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@@ -28,7 +29,7 @@ def download_model(
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Args:
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Args:
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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, 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 standard Hugging Face cache directory.
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show_progress_bars: Show the tqdm progress bars during the download.
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show_progress_bars: Show the tqdm progress bars during the download.
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