BacteriaCDS DNABERT K6 89M This model, BacteriaCDS DNABERT K6 89M , is a DNA sequence classifier based on DNABERT trained for coding sequence (CDS) classification in bacterial genomes. It operates on 6 mer tokenized sequences and was fine tuned using 89M trainable parameters . Model Details Base Model: DNABERT Task: Bacterial CDS Classification K mer Size: 6 Input Sequence: Open Reading Frame(Last 510 nucleotides from end of the sequence) Number of Trainable Parameters: 89M Max Sequence Length: 512 Precision Used: AMP (Automatic Mixed Precision) Install Dependencies Ensure you have transformers and torch installed: Load Model & Tokenizer Inference Example This model works with 6 mer tokenized sequences. You need to convert raw DNA sequences into k mer format:
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