Instructions to use Yale-CompBio/ablang2-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yale-CompBio/ablang2-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Yale-CompBio/ablang2-hf")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Yale-CompBio/ablang2-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38dff514104d76d43ec39b3a36329c17afafab851735f5205781510946770554
- Size of remote file:
- 179 MB
- SHA256:
- 0d3b9c22eda1da98560fd3ccc454a40ccac304aa7080f0fa33f046d10eeae859
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