Instructions to use vblagoje/dpr-question_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-question_encoder-single-lfqa-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="vblagoje/dpr-question_encoder-single-lfqa-wiki")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("vblagoje/dpr-question_encoder-single-lfqa-wiki") model = AutoModel.from_pretrained("vblagoje/dpr-question_encoder-single-lfqa-wiki", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (74e4a6712e5765d637cf2f879054fef053d9d156) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>4ce4936
-
Update config.json
Use DPRQuestionEncoder architecturebf06f6e
-
Blog post link
638436e
-
Update README.md
b04f633 -
Created README.md file
1d07244
-
Update, Rprec:0.112, recall@5: 0.195
f8803c4 -
initial commit
7a80256