Tabular Classification
Transformers
English
scikit-learn
chemistry
drug-discovery
alzheimers-disease
molecular-property-prediction
multi-target-directed-ligands
rdkit
chemoinformatics
Instructions to use BioDockify/alzheimers-ensemble-94pct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BioDockify/alzheimers-ensemble-94pct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BioDockify/alzheimers-ensemble-94pct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data/level3_training_data.csv from BioDockify/alzheimers-ensemble-94pct: direct link, hf CLI and curl.
- Browser
- Download file 511 kB
-
https://huggingface.co/BioDockify/alzheimers-ensemble-94pct/resolve/main/data/level3_training_data.csv
- Command line
-
hf download hf://BioDockify/alzheimers-ensemble-94pct/data/level3_training_data.csv
-
curl -L -o level3_training_data.csv https://huggingface.co/BioDockify/alzheimers-ensemble-94pct/resolve/main/data/level3_training_data.csv
511 kB
File too large to display, you can check the raw version instead.