Instructions to use facebook/dpr-reader-multiset-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dpr-reader-multiset-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DPRReader tokenizer = AutoTokenizer.from_pretrained("facebook/dpr-reader-multiset-base") model = DPRReader.from_pretrained("facebook/dpr-reader-multiset-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/dpr-reader-multiset-base: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/dpr-reader-multiset-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 4474111b3a6d0998c06d09eab471eb234e01c9445c77acfd5be174c17538fa61
- Size of remote file:
- 438 MB
- SHA256:
- d26b3804486e5afa5a27fb9414589d46ae74ebeae2d8fa76f3eee725343d94d0
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