Instructions to use AI4Protein/ProSST-DSSP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AI4Protein/ProSST-DSSP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AI4Protein/ProSST-DSSP", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("AI4Protein/ProSST-DSSP", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd45b1d95e5754044fc8bde2fe7546977b52de63fc1cbd73cbe9bfc0121bffd
- Size of remote file:
- 462 MB
- SHA256:
- 7864d390347ae8a37280a8168bc1d8d5bab38349a0388c9f55f046789c82a53c
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