Instructions to use rupeshs/taesdxl-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rupeshs/taesdxl-openvino with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rupeshs/taesdxl-openvino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e41f252bc495592d3bf8b168bc6db66321db11a445b93fc5e09e157f97645be8
- Size of remote file:
- 2.45 MB
- SHA256:
- ab5d982a5af3f5977e4118c814887e4c5d18705b883f125d22c16cc7addd6a59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.