Instructions to use Goodarc/teddydountmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Goodarc/teddydountmodel1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Goodarc/teddydountmodel1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ad6fa2505874e242b6af39e7c5f7bb2d4dfc95eaf93af5794da02e810788d1b
- Size of remote file:
- 1.61 GB
- SHA256:
- 0fabc98b80f97c5f0fb07ec589b8ee2ea53a912da839db19037034cb82db0938
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.