Instructions to use caskcsg/cotmae_base_msmarco_retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caskcsg/cotmae_base_msmarco_retriever with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("caskcsg/cotmae_base_msmarco_retriever") model = AutoModel.from_pretrained("caskcsg/cotmae_base_msmarco_retriever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2b3d52e252baf5fb7f902bf740446c694d88c09981e7549fe9ce7d1725d2a8d
- Size of remote file:
- 438 MB
- SHA256:
- 1e81d1397062c46511ecda95b4ed26f3a71ce764d1eec5acd68a53b819fb9d6d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.