Instructions to use ibm-research/re2g-ctx-encoder-nq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/re2g-ctx-encoder-nq with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("ibm-research/re2g-ctx-encoder-nq") model = DPRContextEncoder.from_pretrained("ibm-research/re2g-ctx-encoder-nq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e9907ac0fcbe7633b337465bbb9d5ddceffd35bc82b1038f6d63ca626784e4c
- Size of remote file:
- 438 MB
- SHA256:
- 0ae5bb4464d876d7229c9a11e2a527c01dc37ae42995edd9a17df83915e02ba1
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