Instructions to use nateraw/resnet152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/resnet152 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/resnet152", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de4b2c8934d4d7cdb004eb3ff21647f2686bdf206e39badca3bb5b7f18ba609c
- Size of remote file:
- 242 MB
- SHA256:
- 3bac80ca5409f3b522cc144078e2ba9db8175b830479e9a288f3872ff2cc51a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.