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nekomata-14b-pfn-qfin

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Update README.md

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@@ -47,7 +47,6 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("pfnet/nekomata-14b-pfn-qfin", trust_remote_code=True)
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  # Use GPU with bf16 (recommended for supported devices)
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  # model = AutoModelForCausalLM.from_pretrained("pfnet/nekomata-14b-pfn-qfin", device_map="auto", trust_remote_code=True, bf16=True)
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  tokenizer = AutoTokenizer.from_pretrained("pfnet/nekomata-14b-pfn-qfin", trust_remote_code=True)
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  # Use GPU with bf16 (recommended for supported devices)
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  # model = AutoModelForCausalLM.from_pretrained("pfnet/nekomata-14b-pfn-qfin", device_map="auto", trust_remote_code=True, bf16=True)
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