Instructions to use vblagoje/dpr-ctx_encoder-single-lfqa-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vblagoje/dpr-ctx_encoder-single-lfqa-wiki with Transformers:
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("vblagoje/dpr-ctx_encoder-single-lfqa-wiki") model = DPRContextEncoder.from_pretrained("vblagoje/dpr-ctx_encoder-single-lfqa-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b36c60cb7ff6311c67d5fcb89ecbc160dd4d80dc2dc34cde3b05f6f12a67af9
- Size of remote file:
- 438 MB
- SHA256:
- 962182f13bcd5f78699187f678066513c0df0a6e20a11923c06a234a2e44b810
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