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:
- bfb9f889adae6fa97ad8d5718691ff2c8af68ed63bd8d2554a7ce65c8cf821eb
- Size of remote file:
- 179 MB
- SHA256:
- 4450f7defc9075265d50d209f35a0f53857eb218c8a3d2b3ddc6cd2df67148b1
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