Instructions to use dsksd/dpr-ctx_encoder-single-qrecc-model-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsksd/dpr-ctx_encoder-single-qrecc-model-base with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("dsksd/dpr-ctx_encoder-single-qrecc-model-base") model = DPRContextEncoder.from_pretrained("dsksd/dpr-ctx_encoder-single-qrecc-model-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ab7382fa38e4c30fb6c49215f4f5ed4a2830a563d8335da44b1b9e58c2d2597
- Size of remote file:
- 438 MB
- SHA256:
- f8c4315127d361eda6aa2c19b588d666561e90f9bdfe7e39c2e5159b0db27512
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