Instructions to use EJueon/keyword_dpr_context_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EJueon/keyword_dpr_context_encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("EJueon/keyword_dpr_context_encoder") model = DPRContextEncoder.from_pretrained("EJueon/keyword_dpr_context_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from EJueon/keyword_dpr_context_encoder: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/EJueon/keyword_dpr_context_encoder/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://EJueon/keyword_dpr_context_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/EJueon/keyword_dpr_context_encoder/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 220f468bd6175cec7086b9c308d7da9ffcbd18d5f6b78b35663d2765edfdffd5
- Size of remote file:
- 443 MB
- SHA256:
- 7e756156e14c9e839ee648b3ecd45d2e1ef21e3d32b279574de6b5877857ed03
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