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)# 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
- Xet hash:
- 6a5763277f8b06367499fb038496e2f05482955e9991c09bf51ca16c992b9a45
- Size of remote file:
- 1.53 GB
- SHA256:
- 78885c5944719163ccdb54e07b42a73fdf471dc948526818bb9b910bc2c534b1
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