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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5b4fd79b25dcf0938237f11d8caf72c4023126df8f9afd9c6b71b3865f8c06e
- Size of remote file:
- 264 MB
- SHA256:
- 713ef126033cef9b1884254aecc5f7bba2083abd23ef6c9dcc049d2eb4414f8d
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