Instructions to use castorini/ance-dpr-context-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/ance-dpr-context-multi with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("castorini/ance-dpr-context-multi") model = DPRContextEncoder.from_pretrained("castorini/ance-dpr-context-multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f17c81af95d261feb1e9f8d9aebe208f29807a15a4848cf1b93be24ca26ba48
- Size of remote file:
- 438 MB
- SHA256:
- 858bbae8a2bbc0b5239329c505260434f68ea1da8fd348c5bda26935a0d2661e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.