Instructions to use facebook/dpr-question_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-question_encoder-single-nq-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/dpr-question_encoder-single-nq-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-question_encoder-single-nq-base") model = AutoModel.from_pretrained("facebook/dpr-question_encoder-single-nq-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 433c3419c2788ae28f46fdbc319659d8bef36522702787ca018ba41ce108d749
- Size of remote file:
- 438 MB
- SHA256:
- 7fd8074bf164ea506267e1894b4b7579d25c56858d4890d707272557b7c7cc00
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