Instructions to use FadyRezk/SimCLR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FadyRezk/SimCLR with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FadyRezk/SimCLR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da3c59a6d4c1c4be666045875c0cd8f58be17d0d8bf6f74dd21c46bb7b4fd857
- Size of remote file:
- 101 MB
- SHA256:
- 9acea6ef40ab41947206b36e3b33606c034a507b16eca78e7085109eb65e66a5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.