Instructions to use PaulLerner/dpr_question_encoder_triviaqa_without_viquae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaulLerner/dpr_question_encoder_triviaqa_without_viquae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="PaulLerner/dpr_question_encoder_triviaqa_without_viquae")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("PaulLerner/dpr_question_encoder_triviaqa_without_viquae") model = AutoModel.from_pretrained("PaulLerner/dpr_question_encoder_triviaqa_without_viquae", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PaulLerner/dpr_question_encoder_triviaqa_without_viquae: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/PaulLerner/dpr_question_encoder_triviaqa_without_viquae/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PaulLerner/dpr_question_encoder_triviaqa_without_viquae/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PaulLerner/dpr_question_encoder_triviaqa_without_viquae/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- b0e54f0c6d4cc1f962c64f28802f470446cd11c38203985ec8a34cd414d8a854
- Size of remote file:
- 438 MB
- SHA256:
- dbf6139ed55dd6eac7851ca9445cb7059845925b17be60bedf777b037807864c
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