Instructions to use vblagoje/dpr-ctx_encoder-single-lfqa-base 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-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("vblagoje/dpr-ctx_encoder-single-lfqa-base") model = DPRContextEncoder.from_pretrained("vblagoje/dpr-ctx_encoder-single-lfqa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (e47626b7a23a845c49499dd532222216247c3866) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>595287e
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Create README.md
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Update, Rprec:0.056, recall@5: 0.125
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No checkpoints, accuracy@1: 0.18, mrr: 0.32
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Update model, accuracy@1: 0.2, mrr: 0.33
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Update Accuracy@1: 0.19, mrr: 0.32
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Update, mrr@10 0.55
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Use project_dim 128
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Add the right context encoder
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Initial version
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initial commit
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