Instructions to use zuppif/resnetd-26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuppif/resnetd-26 with Transformers:
# Load model directly from transformers import ResNetDForImageClassification model = ResNetDForImageClassification.from_pretrained("zuppif/resnetd-26", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b3f20df397412f1b25d719faf296adb07f5adb88febeafc27709c9cc46be006
- Size of remote file:
- 64.3 MB
- SHA256:
- 9e4a852d9bfc4b2806424169ea925c6d2e0191658ecf67cc4a451e007ebfadfc
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