Instructions to use eugenesiow/mdsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenesiow/mdsr with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugenesiow/mdsr", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc5da8c1093b77674c69f6b6fea8d5a9553325b1c716b2ffd2010a1aa6a9fcf
- Size of remote file:
- 10.9 MB
- SHA256:
- 6e36fc0210082d0a8b1a12b0282c4121c4694aa1fa05a5973299652dcfec0f45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.