Instructions to use kiyoung2/dpr_p-encoder_roberta-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiyoung2/dpr_p-encoder_roberta-small with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaEncoder tokenizer = AutoTokenizer.from_pretrained("kiyoung2/dpr_p-encoder_roberta-small") model = RobertaEncoder.from_pretrained("kiyoung2/dpr_p-encoder_roberta-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef9d6fcba12aca1c26a6504f23155ac6caaa45872e5a4a84f0150bbd5a0d208
- Size of remote file:
- 272 MB
- SHA256:
- 3de4f4abee37ea693e078675e2c4c3f49d4bce6cb432b005cc0e954fc46689a3
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