Instructions to use rahul24raj/lysos-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahul24raj/lysos-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rahul24raj/lysos-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a05c10f0701adea7ad54e3bbbd71983737cd14a6a93986853c6923d6df734f04
- Size of remote file:
- 5.78 kB
- SHA256:
- b9a00576ee8150faa013f7d9e3676271584f626f7b7f98360da30d907e524147
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.