Instructions to use virtual-human-chc/prot_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use virtual-human-chc/prot_albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="virtual-human-chc/prot_albert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("virtual-human-chc/prot_albert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b111b26600beab49e6a3da446f1f46fd629bea4f7ef0a11e740c70b5743e13be
- Size of remote file:
- 238 kB
- SHA256:
- c2bd947f6400f10d02c65a9ca396e607bf89e076cfd3f9775e9ef053539998d9
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