Instructions to use sivasankalpp/dpr-multidoc2dial-token-ctx-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivasankalpp/dpr-multidoc2dial-token-ctx-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("sivasankalpp/dpr-multidoc2dial-token-ctx-encoder") model = DPRContextEncoder.from_pretrained("sivasankalpp/dpr-multidoc2dial-token-ctx-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d142d211e6847ea95423a2f8cdd8dc8d660beb96b6376342502afdb51ff0ed8
- Size of remote file:
- 438 MB
- SHA256:
- 88deb5b3f3630e5d5cc156eb8418615b3dea680d9ad2867df1bc49225a418ff7
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