Fill-Mask
Transformers
PyTorch
Safetensors
ConvNet
dna
language-model
variant-effect-prediction
biology
genomics
Instructions to use songlab/gpn-brassicales with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use songlab/gpn-brassicales with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="songlab/gpn-brassicales")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("songlab/gpn-brassicales", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12271e4e045f796387171499664c70b4727d8b8e31492320c33ecdb9e2f1bc8c
- Size of remote file:
- 264 MB
- SHA256:
- d1fe7e6dc02f1f62d7620ef94e9114eaf9c54d9844960e214f1f1d3dde991c21
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