Instructions to use Chaoqi2000/BestDNA6mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chaoqi2000/BestDNA6mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Chaoqi2000/BestDNA6mer", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Chaoqi2000/BestDNA6mer", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("Chaoqi2000/BestDNA6mer", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fadab53e09ef8192fbd3f39bf11e20712cb75b73ab857c16dd57b017c1147c2
- Size of remote file:
- 468 MB
- SHA256:
- a36fdabc2243575884b0c0a697b5889c7873bb3fb6c26a557d0058e9dd144e92
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