Edoardo-Coppola/HuBERT-ECG-SSL-Pretrained

For a convenient overview and download list, visit our model page for this model.

This is a MobileViT (Small) model fine-tuned on the Processed Diabetic Retinopathy dataset.

Using llama.cpp release b2440 for quantization.

Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

This is the official pre-trained model introduced in DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome .