Feature Extraction
Transformers
Safetensors
protenrich
proteins
bioinformatics
drug-discovery
custom_code
Instructions to use SaeedLab/ProtEnrich-ESM2-T36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaeedLab/ProtEnrich-ESM2-T36 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SaeedLab/ProtEnrich-ESM2-T36", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SaeedLab/ProtEnrich-ESM2-T36", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a3f49f7c099f9f1d06b22466133dc56085f5b0b825ca9dad119a3c610ca661b
- Size of remote file:
- 72.7 MB
- SHA256:
- a43df16fca77cc8426c8d9ecc33b6c564910c4e987e4dbeb7ebbbd8d7a002514
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