KaleiNeely
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Parent(s):
80a4dff
Update README.md
Browse files
README.md
CHANGED
@@ -27,7 +27,7 @@ Assistant:"""
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model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(torch.float32)
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tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left')
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text = "请介绍北京的旅游景点"
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prompt = generate_prompt(text)
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@@ -83,7 +83,7 @@ Assistant:"""
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model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, torch_dtype=torch.float16).to(0)
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tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left')
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text = "介绍一下大熊猫"
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prompt = generate_prompt(text)
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@@ -130,7 +130,7 @@ User: {instruction}
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Assistant:"""
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model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(torch.float32)
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tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left')
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texts = ["请介绍北京的旅游景点", "介绍一下大熊猫", "乌兰察布"]
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prompts = [generate_prompt(text) for text in texts]
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model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(torch.float32)
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tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left', pad_token="<s>")
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text = "请介绍北京的旅游景点"
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prompt = generate_prompt(text)
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model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, torch_dtype=torch.float16).to(0)
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tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left', pad_token="<s>")
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text = "介绍一下大熊猫"
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prompt = generate_prompt(text)
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Assistant:"""
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model = AutoModelForCausalLM.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True).to(torch.float32)
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tokenizer = AutoTokenizer.from_pretrained("RWKV/rwkv-5-world-1b5", trust_remote_code=True, padding_side='left', pad_token="<s>")
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texts = ["请介绍北京的旅游景点", "介绍一下大熊猫", "乌兰察布"]
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prompts = [generate_prompt(text) for text in texts]
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