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27 lines
763 B
Python
27 lines
763 B
Python
'''
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Converts a transformers model to .pt, which is faster to load.
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Example:
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python convert-to-torch.py models/opt-1.3b
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The output will be written to torch-dumps/name-of-the-model.pt
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'''
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from transformers import AutoModelForCausalLM, T5ForConditionalGeneration
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import torch
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from sys import argv
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from pathlib import Path
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path = Path(argv[1])
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model_name = path.name
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print(f"Loading {model_name}...")
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if model_name in ['flan-t5', 't5-large']:
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model = T5ForConditionalGeneration.from_pretrained(path).cuda()
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else:
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model = AutoModelForCausalLM.from_pretrained(path, low_cpu_mem_usage=True, torch_dtype=torch.float16).cuda()
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print("Model loaded.")
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print(f"Saving to torch-dumps/{model_name}.pt")
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torch.save(model, Path(f"torch-dumps/{model_name}.pt"))
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