Fill-Mask
Transformers
PyTorch
Safetensors
GPNRoFormer
dna
language-model
variant-effect-prediction
biology
genomics
Instructions to use songlab/gpn-msa-sapiens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use songlab/gpn-msa-sapiens with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="songlab/gpn-msa-sapiens")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("songlab/gpn-msa-sapiens", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 737650ffa4fef3eb39a964a7bab5d0220faab802026b582e4d64231800cb1e93
- Size of remote file:
- 343 MB
- SHA256:
- 871486dc79457c5e4954f76003ebaa818bbefcf3769f9371848ee80b55eee7c4
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