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6f79d26442
* Result of black 23.1 * Update target to Python 3.7 * Switch flake8 to ruff * Configure isort * Configure isort * Apply isort with line limit * Put the right black version * adapt black in check copies * Fix copies
28 lines
893 B
Python
28 lines
893 B
Python
from arguments import InitializationArguments
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from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser
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# Configuration
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parser = HfArgumentParser(InitializationArguments)
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args = parser.parse_args()
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# Load codeparrot tokenizer trained for Python code tokenization
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tokenizer = AutoTokenizer.from_pretrained(args.tokenizer_name)
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# Config: "scale_attn_by_layer_idx" and "reorder_and_upcast_attn" are Mistral stability tweaks
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config_kwargs = {
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"vocab_size": len(tokenizer),
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"scale_attn_by_inverse_layer_idx": True,
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"reorder_and_upcast_attn": True,
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}
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# Load model config (GPT-2 large in this case)
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config = AutoConfig.from_pretrained(args.config_name, **config_kwargs)
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# Initialize new model with config
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model = AutoModelForCausalLM.from_config(config)
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# Save model to the hub
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model.save_pretrained(args.model_name, push_to_hub=args.push_to_hub)
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