Instructions to use facebook/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 facebook/dpr-ctx_encoder-single-nq-base with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-ctx_encoder-single-nq-base") model = DPRContextEncoder.from_pretrained("facebook/dpr-ctx_encoder-single-nq-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c45f1fa3067729fcbf9625dbebd9f79bb227d56ca9914d19781e02259e6385ec
- Size of remote file:
- 438 MB
- SHA256:
- 6bdbc3d97c037c6f1c5ab2d0c4e6f0f315ebcf2c539d1bad63fb2bf26af87ae7
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