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from transformers import AutoModelForCausalLM, AutoTokenizer
# モデル名を指定
model_name = "./"
# モデルとトークナイザーを読み込む
model = AutoModelForCausalLM.from_pretrained(model_name)
# tokenizer = AutoTokenizer.from_pretrained(model_name)
# モデルの状態ディクショナリを取得
state_dict = model.state_dict()
# weightキーを表示
for key in state_dict.keys():
if "weight" in key:
print(key) |