Feature Extraction
Transformers
Safetensors
flash_transformer
biology
genomics
long-context
custom_code
Instructions to use isyslab/DNAFlash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isyslab/DNAFlash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="isyslab/DNAFlash", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("isyslab/DNAFlash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7156f8c7581d2020a2aed70e17790a088cd8103120cf8d2146b65294fd504edc
- Size of remote file:
- 959 MB
- SHA256:
- d7840b0f1d060575b9270d3846c71805d33fd84e1813b5edfd46201d378d1c79
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.