Instructions to use jacklin/DeLADE-CLS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacklin/DeLADE-CLS with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jacklin/DeLADE-CLS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ae17e9d252e7af898122691978f3130d2d380e6afbb24e8347dfa1e182bb8b8
- Size of remote file:
- 578 Bytes
- SHA256:
- e32591443e10f4c563d9bac9db4c75f22a649e97dfe3b84e9f7220ed337d36fb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.