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Create README.md

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+ ```python
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+ import torch
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+ from transformers import LlamaTokenizer, LlamaForCausalLM
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+ import transformers
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+ tokenizer = LlamaTokenizer.from_pretrained(
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+ 'ocisd4/openllama-zh',
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+ add_bos_token=False,
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+ add_eos_token=False,
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+ use_auth_token=True,
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+ use_fast=False)
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+
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+ model = LlamaForCausalLM.from_pretrained('ocisd4/openllama-zh', device_map='auto',use_auth_token=True)
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+
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+
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+ prompt = '關於華碩的傳說'
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+ input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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+
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+ generation_output = model.generate(
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+ input_ids=input_ids, max_new_tokens=256,
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+ do_sample=True, top_k=40, top_p=0.95, temperature=0.7, repetition_penalty=1.08,
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+ )
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+
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+ print(tokenizer.decode(generation_output[0]))
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+ ```
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+
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+ The is a 7B pretrain model, train from openllama pretrain weight, context size=2048
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+
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+ **keep updating new model**