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from transformers.modeling_flax_pytorch_utils import load_flax_checkpoint_in_pytorch_model |
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from transformers import T5Config, T5Model |
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config = T5Config.from_pretrained("./") |
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model = T5Model(config) |
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load_flax_checkpoint_in_pytorch_model(model, "./flax_model.msgpack") |
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model.save_pretrained("./") |
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from transformers import AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("./") |
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tokenizer.save_pretrained("./") |
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('./tokenizer_config.json', |
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'./special_tokens_map.json', |
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'./vocab.json', |
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'./merges.txt', |
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'./added_tokens.json', |
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'./tokenizer.json') |