forked from mrq/DL-Art-School
22 lines
755 B
Python
22 lines
755 B
Python
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import json
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import torch
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from models.asr.w2v_wrapper import Wav2VecWrapper
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from models.tacotron2.text import tacotron_symbol_mapping
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if __name__ == '__main__':
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"""
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Utility script for uploading model weights to the HF hub
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"""
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'''
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model = Wav2VecWrapper(vocab_size=148, basis_model='facebook/wav2vec2-large-robust-ft-libri-960h', freeze_transformer=True, checkpointing_enabled=False)
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weights = torch.load('D:\\dlas\\experiments\\train_wav2vec_mass_large2\\models\\22500_wav2vec.pth')
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model.load_state_dict(weights)
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model.w2v.save_pretrained("jbetker/wav2vec2-large-robust-ft-libritts-voxpopuli", push_to_hub=True)
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'''
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# Build tokenizer vocab
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mapping = tacotron_symbol_mapping()
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print(json.dumps(mapping))
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