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@@ -34,6 +34,32 @@ license: other
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  ### 1. 推理/Inference
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  ### 1. 推理/Inference
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+ ```python
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+ from transformers import AutoTokenizer, AquilaForCausalLM
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+ import torch
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+ from cyg_conversation import covert_prompt_to_input_ids_with_history
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+
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+ tokenizer = AutoTokenizer.from_pretrained("BAAI/AquilaChat-7B")
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+ model = AquilaForCausalLM.from_pretrained("BAAI/AquilaChat-7B")
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+ model.eval()
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+ model.to("cuda:0")
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+ vocab = tokenizer.vocab
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+ print(len(vocab))
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+
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+ text = "请给出10个要到北京旅游的理由。"
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+
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+ tokens = covert_prompt_to_input_ids_with_history(text, history=[], tokenizer=tokenizer, max_token=512)
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+
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+ tokens = torch.tensor(tokens)[None,].to("cuda:0")
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+
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+
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+ with torch.no_grad():
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+ out = model.generate(tokens, do_sample=True, max_length=512, eos_token_id=100007)[0]
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+
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+ out = tokenizer.decode(out.cpu().numpy().tolist())
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+
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+ print(out)
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+ ```
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