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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3be2e7b5df4042a60341da5b870d3873446beb888dfbcd304966165c3c9d566d
- Size of remote file:
- 343 MB
- SHA256:
- fc208feacdbe061168c1b769d5c8a96ae39794fb35076c4ecaead318cb81904b
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