Instructions to use tanoManzo/hyenadna-large-1m-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanoManzo/hyenadna-large-1m-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanoManzo/hyenadna-large-1m-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("tanoManzo/hyenadna-large-1m-seqlen-hf_ft_BioS73_1kbpHG19_DHSs_H3K27AC_one_shot", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle