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model_id = 'linjc16/Panacea-7B-Chat'
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model_id = 'linjc16/Panacea-7B-Chat'
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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```
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## Citation
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If you find our paper or models helpful, please consider cite as follows:
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```bibtex
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@article{lin2024panacea,
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title={Panacea: A foundation model for clinical trial search, summarization, design, and recruitment},
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author={Lin, Jiacheng and Xu, Hanwen and Wang, Zifeng and Wang, Sheng and Sun, Jimeng},
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journal={arXiv preprint arXiv:2407.11007},
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year={2024}
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}
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```
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