Comments (1)
I solved this problem. I will write the solution below and request a pull requests.
main.py line309
[Before]
model = T5FineTuner(args)
print("Reload the model")
model.model.from_pretrained(args.output_dir)
[After]
tfm_model = T5ForConditionalGeneration.from_pretrained(args.model_name_or_path)
model = T5FineTuner(args , tfm_model, tokenizer)print("Reload the model")
model.model.from_pretrained('saved_model')
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