Instructions to use PaulLerner/dpr_context_encoder_triviaqa_without_viquae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaulLerner/dpr_context_encoder_triviaqa_without_viquae with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("PaulLerner/dpr_context_encoder_triviaqa_without_viquae") model = DPRContextEncoder.from_pretrained("PaulLerner/dpr_context_encoder_triviaqa_without_viquae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c6bec90b1e1fb83205b9e34772de741601f7ceff33ebfd31ee4e62e5cf9ddae
- Size of remote file:
- 438 MB
- SHA256:
- 17eb6a02a86187adf312322c779f7412e8b73ca707132750690d2c8ede3e5e93
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