Instructions to use sivasankalpp/dpr-multidoc2dial-structure-ctx-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivasankalpp/dpr-multidoc2dial-structure-ctx-encoder with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("sivasankalpp/dpr-multidoc2dial-structure-ctx-encoder") model = DPRContextEncoder.from_pretrained("sivasankalpp/dpr-multidoc2dial-structure-ctx-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3ef849f78b6861e875eb1d6e341bca8f59ddf39a0e86a67515d47d0f43ffa1a
- Size of remote file:
- 438 MB
- SHA256:
- af9b2f3cb3cd4990f2dc6a749619bce4a379768cf9cab5d1793f13327b0c353c
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