Instructions to use nates-test-org/cait_m48_448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use nates-test-org/cait_m48_448 with timm:
import timm model = timm.create_model("hf_hub:nates-test-org/cait_m48_448", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b73ce80d1277f74809cd92cc82528e49967107ad793f78f7926f1417782f4490
- Size of remote file:
- 1.43 GB
- SHA256:
- 255662fc8f4f623b9dbff5c4d0f1e0ec352cfe6a1c84da593cb5d641a03ec2b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.