Feature Extraction
Transformers
Safetensors
protenrich
proteins
bioinformatics
drug-discovery
custom_code
Instructions to use SaeedLab/ProtEnrich-ProGen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaeedLab/ProtEnrich-ProGen2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaeedLab/ProtEnrich-ProGen2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaeedLab/ProtEnrich-ProGen2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f3f8e4c5ba71d75f1b33de7746e4d8b065f1d77420de70a601e391f8e07be7
- Size of remote file:
- 60.1 MB
- SHA256:
- 6693246a2fd688f9293607dc6da6d19d1688146c712c5a8f3c8aa771e291a32a
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