Instructions to use DeltaHub/FactQA_T5-large_Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeltaHub/FactQA_T5-large_Adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DeltaHub/FactQA_T5-large_Adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cfa8f29b3c1410686873eee938d277f20667e742b609aa79bccb9068d1143ac
- Size of remote file:
- 19.5 MB
- SHA256:
- 654818477f6c43f4075a6ad484a7d461feff22af2fd5eec14deca39fe7ea5182
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.