mirror of
https://github.com/m-bain/whisperX.git
synced 2025-07-01 18:17:27 -04:00
suppress numerals fix
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@ -11,7 +11,7 @@ from transformers.pipelines.pt_utils import PipelineIterator
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from .audio import N_SAMPLES, SAMPLE_RATE, load_audio, log_mel_spectrogram
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from .audio import N_SAMPLES, SAMPLE_RATE, load_audio, log_mel_spectrogram
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from .vad import load_vad_model, merge_chunks
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from .vad import load_vad_model, merge_chunks
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<<<<<<< HEAD
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from .types import TranscriptionResult, SingleSegment
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def find_numeral_symbol_tokens(tokenizer):
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def find_numeral_symbol_tokens(tokenizer):
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numeral_symbol_tokens = []
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numeral_symbol_tokens = []
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@ -21,12 +21,6 @@ def find_numeral_symbol_tokens(tokenizer):
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numeral_symbol_tokens.append(i)
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numeral_symbol_tokens.append(i)
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return numeral_symbol_tokens
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return numeral_symbol_tokens
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def load_model(whisper_arch, device, compute_type="float16", asr_options=None, language=None,
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vad_options=None, model=None, task="transcribe"):
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=======
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from .types import TranscriptionResult, SingleSegment
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def load_model(whisper_arch,
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def load_model(whisper_arch,
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device,
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device,
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device_index=0,
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device_index=0,
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@ -37,7 +31,6 @@ def load_model(whisper_arch,
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model=None,
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model=None,
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task="transcribe",
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task="transcribe",
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download_root=None):
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download_root=None):
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>>>>>>> ec6a110cdf2616919cfd0a616f9ae2fbdd44903f
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'''Load a Whisper model for inference.
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'''Load a Whisper model for inference.
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Args:
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Args:
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whisper_arch: str - The name of the Whisper model to load.
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whisper_arch: str - The name of the Whisper model to load.
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@ -100,9 +93,6 @@ def load_model(whisper_arch,
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default_asr_options = faster_whisper.transcribe.TranscriptionOptions(**default_asr_options)
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default_asr_options = faster_whisper.transcribe.TranscriptionOptions(**default_asr_options)
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default_vad_options = {
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default_vad_options = {
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"vad_onset": 0.500,
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"vad_onset": 0.500,
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"vad_offset": 0.363
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"vad_offset": 0.363
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