Instructions to use Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, HFBertEncoder tokenizer = AutoTokenizer.from_pretrained("Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query") model = HFBertEncoder.from_pretrained("Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Archeops/github.facebook.reconstructed.DPR.40epochs.encoder.query/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 01e68ec4c05f11ad202ac3fc2fec92bac5fdf9175dc3a5e03de2a72c6aed2bf8
- Size of remote file:
- 438 MB
- SHA256:
- 7ad6e9cf08d2c1aaeb0f85475e92adb545ab105878149ceec1c40960f82f24f4
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