Update README.md
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README.md
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@@ -17,6 +17,8 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed
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model = AutoModelForCausalLM.from_pretrained("sbintuitions/sarashina1-13b", torch_dtype=torch.float16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina1-13b")
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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set_seed(123)
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model = AutoModelForCausalLM.from_pretrained("sbintuitions/sarashina1-13b", torch_dtype=torch.float16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina1-13b")
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# If you want to use slow tokenizer
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# tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina1-13b", use_fast=False, revision="slow-tokenizer")
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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set_seed(123)
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