Instructions to use MilaDeepGraph/ProtST-ESM1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaDeepGraph/ProtST-ESM1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MilaDeepGraph/ProtST-ESM1b", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MilaDeepGraph/ProtST-ESM1b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload pytorch_model.bin (#1)
Verified signature- Upload pytorch_model.bin (84759e78263e42a76270bf473468254c806066b9) Co-authored-by: Jiqing.Feng <Jiqing@users.noreply.huggingface.co>4f439ab
-
init from Jiqing's repo
Verified signature314a644