Instructions to use Rostlab/prot_albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_albert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Rostlab/prot_albert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dc59194167b560783581bebd4b6f71aec9c39c0fda303c2375e8ae2605bd371
- Size of remote file:
- 897 MB
- SHA256:
- 5f616acbd5007236453cef55029264af6da30d8f4491a4e5f63641055e53d2b6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.