Instructions to use LeroyDyer/SpydazWebAI_MultiModel_001_Project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LeroyDyer/SpydazWebAI_MultiModel_001_Project with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LeroyDyer/SpydazWebAI_MultiModel_001_Project", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c9d15e8d1ebf11f998451a4eafffd81200c83590988f2ba44d2d700f3e07fc0
- Size of remote file:
- 420 MB
- SHA256:
- b114627deef3f20cb0fd831eb9b1316f59038e1cbb1050f1e3b0afaf10a99935
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.