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:
- 1246823710500d45a7f47ca8818a80c2d35a75af29807dc4249aa876df891601
- Size of remote file:
- 1.98 kB
- SHA256:
- 9ad6bc78816db01d7b137ca136ea376c21fa5cf14ee5840e2493d82f834222b8
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