Instructions to use GleghornLab/asm35_exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/asm35_exp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GleghornLab/asm35_exp")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GleghornLab/asm35_exp") model = AutoModelForMaskedLM.from_pretrained("GleghornLab/asm35_exp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6a74c5ad129c135586d69f626f88a83625df012a6bfe895be466bd418dec683
- Size of remote file:
- 200 MB
- SHA256:
- 683b5e5c63436ff727ab4c3cbbaba80c9a99709808189f4ebd754f1f1e4916c2
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