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  license: apache-2.0
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  ---
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- # LucaGPLM
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- LucaGPLM - The LUCA general purpose language model.
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  ## Installation
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@@ -20,14 +20,17 @@ pip install lucagplm
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  from lucagplm import LucaGPLMModel, LucaGPLMTokenizer
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  # Load model
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- model = LucaGPLMModel.from_pretrained("Yuanfei/LucaOne-default-step5.6M")
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- tokenizer = LucaGPLMTokenizer.from_pretrained("Yuanfei/LucaOne-default-step5.6M")
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  # Example usage
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  seq = "ATCG"
 
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  inputs = tokenizer(seq, seq_type="gene",return_tensors="pt")
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  outputs = model(**inputs)
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  seq = "NSQTA"
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  inputs = tokenizer(seq, seq_type="prot",return_tensors="pt")
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  outputs = model(**inputs)
 
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  license: apache-2.0
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  ---
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+ # LucaOne/LucaGPLM(old checkpoint)
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+ LucaOne/LucaGPLM - The LUCA Gene-Protein language model.
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  ## Installation
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  from lucagplm import LucaGPLMModel, LucaGPLMTokenizer
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  # Load model
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+ model = LucaGPLMModel.from_pretrained("LucaGroup/LucaOne-default-step5.6M")
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+ tokenizer = LucaGPLMTokenizer.from_pretrained("LucaGroup/LucaOne-default-step5.6M")
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  # Example usage
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  seq = "ATCG"
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+ # seq_type="gene", which includes DNA or RNA(Nucleotide Sequences)
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  inputs = tokenizer(seq, seq_type="gene",return_tensors="pt")
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  outputs = model(**inputs)
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+ print(outputs.last_hidden_state.shape)
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+
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  seq = "NSQTA"
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  inputs = tokenizer(seq, seq_type="prot",return_tensors="pt")
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  outputs = model(**inputs)