Instructions to use nateraw/basic-ae-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/basic-ae-cifar10 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/basic-ae-cifar10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d65c17b5ab0b81190ec93732c01b1a17e42a629bfc4eef12eadbf502329c4a29
- Size of remote file:
- 6.45 MB
- SHA256:
- a1a84e76ad111059570cb96d7ab805d26c759b83353c550630cf93caef811d2a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.