Instructions to use Taykhoom/DNABERT-3mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/DNABERT-3mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/DNABERT-3mer", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/DNABERT-3mer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60d8577abd5722951591ae2d51f6e80a73ca711605293ba59be453369354e3d4
- Size of remote file:
- 347 MB
- SHA256:
- 81ac36f4e227da8d154a45fe3d33f9702f290b298e03830b4d60da2f0beca2d3
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