Instructions to use zhiweitong/dpr-ctx_encoder-single-nq-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhiweitong/dpr-ctx_encoder-single-nq-base with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("zhiweitong/dpr-ctx_encoder-single-nq-base") model = DPRContextEncoder.from_pretrained("zhiweitong/dpr-ctx_encoder-single-nq-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e85acbad26ca1459cb965a03f175441d17b9059e42de20e4610158b88af316
- Size of remote file:
- 438 MB
- SHA256:
- bfde0f032ee47207ac5a022409d84cc2c546588589aaa3e95009d68fce174a1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.