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:
- 4d83b824a4cab2e146864c11d437cc23e01efee260f51cf9be28c9c1f0500328
- Size of remote file:
- 897 MB
- SHA256:
- 5f616acbd5007236453cef55029264af6da30d8f4491a4e5f63641055e53d2b6
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