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:
- 27d42215a92eacfd676288ef8f3c0550cbe0d942d0bb2258aaeb45d4543ccdee
- Size of remote file:
- 135 Bytes
- SHA256:
- c59f77e12992626701f6bdfb732b5b9171f753fda86df7f68aa2135ebd421868
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