metadata
license: apache-2.0
tags:
- LucaOne
- Biological Foundation Model
- Unified Nucleic Acid and Protein Language Model
- Biology
- AI4Science
- AI4Biology
- Bio
language:
- en
LucaOne/LucaGPLM(old checkpoint: 5.6M)
LucaOne/LucaGPLM - The LUCA Gene-Protein language model.
Installation
You can install the package from source using pip:
pip install tokenizers==0.19.1
pip install transformers==4.41.2
pip install lucagplm
Usage
from lucagplm import LucaGPLMModel, LucaGPLMTokenizer
# Load model
model = LucaGPLMModel.from_pretrained("LucaGroup/LucaOne-default-step5.6M")
tokenizer = LucaGPLMTokenizer.from_pretrained("LucaGroup/LucaOne-default-step5.6M")
# Example usage
seq = "ATCG"
# seq_type="gene", which includes DNA or RNA(Nucleotide Sequences)
inputs = tokenizer(seq, seq_type="gene",return_tensors="pt")
outputs = model(**inputs)
print(outputs.last_hidden_state.shape)
seq = "NSQTA"
inputs = tokenizer(seq, seq_type="prot",return_tensors="pt")
outputs = model(**inputs)
print(outputs.last_hidden_state.shape)
Github
For long sequence embedding, please refer to the git repository: