Question Answering
Adapters
Safetensors
English
bert
ColBERT
retrieval
triplets-learning
dense-retrieval
medical
Instructions to use shabawak/ClinicalBERT-ColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use shabawak/ClinicalBERT-ColBERT with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("shabawak/ClinicalBERT-ColBERT", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download colbert/tokenizer.json from shabawak/ClinicalBERT-ColBERT: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/shabawak/ClinicalBERT-ColBERT/resolve/main/colbert/tokenizer.json
- Command line
-
hf download hf://shabawak/ClinicalBERT-ColBERT/colbert/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shabawak/ClinicalBERT-ColBERT/resolve/main/colbert/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.