Agront 1b Conservation

pip install transformers

from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline

model_name = 'agront-1b-conservation'
# load model and tokenizer
model = AutoModelForSequenceClassification.from_pretrained(f'zhangtaolab/{model_name}', trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(f'zhangtaolab/{model_name}', trust_remote_code=True)

# inference
sequences = ['ACATGCTAAATTAGTTGGCAATTTTTTCTCAGGTAGCTGGGCACAATTTGGTAGTCCAGTTGAACAAAATCCATTAGCTTCTTTTAGCAAGTCCCCTGGTTTGGGCCCTGCCAGTCCCATTAATACCAACCATTTGTCTGGATTGGCTGCAATTCTTTCCCCACAAGCAACAACCTCTACCAAGATTGCACCGATTGGCAAGGACCCTGGAAGGGCTGCAAATCAGATGTTTTCTAACTCTGGATCAACACAAGGAGCAGCTTTTCAGCATTCTATATCCTTTCCTGAGCAAAATGTAAAGGCAAGTCCTAGGCCTATATCTACTTTTGGTGAATCAAGTTCTAGTGCATCAAGTATTGGAACACTGTCCGGTCCTCAATTTCTTTGGGGAAGCCCAACTCCTTACTCTGAGCATTCAAACACTTCTGCCTGGTCTTCATCTTCGGTGGGGCTTCCATTTACATCTAGTGTCCAAAGGCAGGGTTTCCCATATACTAGTAATCACAGTCCTTTTCTTGGCTCCCACTCTCATCATCATGTTGGATCTGCTCCATCTGGCCTTCCGCTTGATAGGCATTTTAGCTACTTCCCTGAGTCACCTGAAGCTTCTCTCATGAGCCCGGTTGCATTTGGGAATTTAAATCACGGTGATGGGAATTTTATGATGAACAACATTAGTGCTCGTGCATCTGTAGGAGCCGGTGTTGGTCTTTCTGGAAATACCCCTGAAATTAGTTCACCCAATTTCAGAATGATGTCTCTGCCTAGGCATGGTTCCTTGTTCCATGGAAATAGTTTGTATTCTGGACCTGGAGCAACTAACATTGAGGGATTAGCTGAACGTGGACGAAGTAGACGACCTGAAAATGGTGGGAACCAAATTGATAGTAAGAAGCTGTACCAGCTTGATCTTGACAAAATCGTCTGTGGTGAAGATACAAGGACTACTTTAATGATTAAAAACATTCCTAACAAGTAAGAATAACTAAACATCTATCCT',
             'GTCGCAAAAATTGGGCCACTTGCAGTTCAATCTGTTTAATCAAAATTGCATGTGTATCAACTTTTTGCCCAATACTAGCTATATCACACCTCAACTCTTTAATGTGTTCATCACTAGTGTCGAACCTCCTCATCATTTTGTCCAACATATCCTCAACTCGCGCCATACTATCTCCACCATCCCTAGGAGTAACTTCACGATTTTGAGGAGGGACATAGGGCCCATTCCTGTCGTTTCTATTAGCATAGTTACTCCTGTTAAAGTTGTTGTCGCGGTTGTAGTTTCCATCACGTACATAATGACTCTCACGGTTGTAGTTACCATAGTTCCGACCTGGGTTCCCTTGAACTTGGCGCCAGTTATCCTGATTTGAGCCTTGGGCGCTTGGTCGGAAACCCCCTGTCTGCTCATTTACTGCATAAGTGTCCTCCGCGTAACATCATTAGGAGGTGGTGGTTTAGCAAAGTAGTTGACTGCATTTATCTTTTCTGCACCCCCTGTGACATTTTTTAGTACCAACCCAAGCTCAGTTCTCATCTGAGACATTTCTTCTCGAATCTCATCTGTGGCTCGGTTGTGAGTGGACTGCACTACGAAGGTGTTTTTCCCTGTATCAAACTTCCTAGTACTCCAAGCTTTGTTATTTCGGGAGATTTTCTCTAGTTTTTCTGCAATCTCAACATAAGTGCATTCTCCATAAGATCCACCTGCTATAGTGTCCAACACCGCTTTATTGTTATCATCCTGTCCCCGATAGAAGTATTCCTTCAGTGACTCATCATCTATACGGTGATTTAGAACACTTCTCAAGAATGAGGTGAATCTATCCCAAGAACTACTAACTAACTCTCCTGGTAGTGCCACAAAGCTGTTCACCCTTTCTTTGTGGTTTAACTTCTTGGAGATCGGATAGTAGCGTGCTAAGAAGACATCCCTTAGTTGGTTCCAAGTGAATATGGAGTTGTATGCGAGCTTAGTGAACCACATTGCAGCCTCTCCC']
pipe = pipeline('text-classification', model=model, tokenizer=tokenizer,
                trust_remote_code=True, top_k=None)
results = pipe(sequences)
print(results)