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Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
27 lines
933 B
Python
Executable File
27 lines
933 B
Python
Executable File
#!/usr/bin/env python
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import fire
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from transformers import AutoConfig, AutoModelForSeq2SeqLM, AutoTokenizer
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def save_randomly_initialized_version(config_name: str, save_dir: str, **config_kwargs):
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"""Save a randomly initialized version of a model using a pretrained config.
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Args:
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config_name: which config to use
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save_dir: where to save the resulting model and tokenizer
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config_kwargs: Passed to AutoConfig
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Usage::
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save_randomly_initialized_version("facebook/bart-large-cnn", "distilbart_random_cnn_6_3", encoder_layers=6, decoder_layers=3, num_beams=3)
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"""
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cfg = AutoConfig.from_pretrained(config_name, **config_kwargs)
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model = AutoModelForSeq2SeqLM.from_config(cfg)
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model.save_pretrained(save_dir)
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AutoTokenizer.from_pretrained(config_name).save_pretrained(save_dir)
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return model
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if __name__ == "__main__":
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fire.Fire(save_randomly_initialized_version)
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