BatatasLM fine-tuned model for the prom_300 DNA sequence classification task.
Promoter sequence classification using 300 bp sequence windows.
DNA sequence text using the tokenizer included in this repository.
Sequence-classification logits for labels declared in config.json. Test predictions and training metrics are not included.
Research and benchmarking of DNA sequence functional classification.
config.json, pytorch_model.bin, tokenizer files, and custom Python modules required by auto_map.
1from transformers import AutoModelForSequenceClassification
2model = AutoModelForSequenceClassification.from_pretrained("BatatasLM-SP5-28L_prom_300", trust_remote_code=True)
BatatasLM: A Sweetpotato-Centric DNA Foundation Model.
