Instructions to use MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MilaDeepGraph/ProtST-ESM1b-LocalizationPrediction", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 346e252f0eda580ceffbe1e9f2d3273cc2999418ec91afc1e0e54f92935cce9f
- Size of remote file:
- 135 Bytes
- SHA256:
- 2cc85989acd0d89c5dd68001eac09168fdb4e36b9ae6056ff278f6728dba045c
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