Instructions to use zhiweitong/dpr-answer_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-answer_encoder-single-nq-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="zhiweitong/dpr-answer_encoder-single-nq-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zhiweitong/dpr-answer_encoder-single-nq-base") model = AutoModel.from_pretrained("zhiweitong/dpr-answer_encoder-single-nq-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43653172064d7a1dd68de2c716a37e2dbdeadf9637d48cc3a6cba96c401a9835
- Size of remote file:
- 438 MB
- SHA256:
- 5d378f086f044df89907e80b43a942b05348c6eaf55220c2eb175ab5e758c495
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