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Xianjun
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PLLaMa-7b-base

Text Generation
Transformers
PyTorch
llama
text-generation-inference
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@@ -32,11 +32,11 @@ with torch.no_grad():
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  response = tokenizer.decode(output[0], skip_special_tokens=True)
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- ## Citation [optional]
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- @inproceedings{Yang2024PLLaMaAO,
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  title={PLLaMa: An Open-source Large Language Model for Plant Science},
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  author={Xianjun Yang and Junfeng Gao and Wenxin Xue and Erik Alexandersson},
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  year={2024},
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  url={https://api.semanticscholar.org/CorpusID:266741610}
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- }
 
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  response = tokenizer.decode(output[0], skip_special_tokens=True)
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+ ## Citation [@inproceedings{Yang2024PLLaMaAO,
 
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  title={PLLaMa: An Open-source Large Language Model for Plant Science},
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  author={Xianjun Yang and Junfeng Gao and Wenxin Xue and Erik Alexandersson},
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  year={2024},
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  url={https://api.semanticscholar.org/CorpusID:266741610}
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+ }]
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+
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