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
Commit ·
eb69345
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Parent(s): 40df798
Update tokenizer_config.json
Browse files- tokenizer_config.json +2 -1
tokenizer_config.json
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"do_lower_case": true
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"do_lower_case": true,
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"model_max_length": 512
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}
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