Instructions to use facebook/contriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/contriever with Transformers:
# Load model directly from transformers import AutoTokenizer, Contriever tokenizer = AutoTokenizer.from_pretrained("facebook/contriever") model = Contriever.from_pretrained("facebook/contriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33f1581e1b091c74eb587fa57dec1aa3d9352ce31310fba3e6a7a8da2b57f09b
- Size of remote file:
- 438 MB
- SHA256:
- d0b6e2516913f812360475154323f50e2b1e1da0ce6a435175e08f218784c6fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.