Instructions to use Bono93/basic-cnn-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bono93/basic-cnn-example with Transformers:
# Load model directly from transformers import SimpleCNNForImageClassification model = SimpleCNNForImageClassification.from_pretrained("Bono93/basic-cnn-example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Bono93/basic-cnn-example: direct link, hf CLI and curl.
- Browser
- Download file 9.6 MB
-
https://huggingface.co/Bono93/basic-cnn-example/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Bono93/basic-cnn-example/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Bono93/basic-cnn-example/resolve/main/pytorch_model.bin
9.6 MB
- Xet hash:
- d66cea1f45a304e41ffef996eb7a197049995fc3afa5283fd3a9d376543697f2
- Size of remote file:
- 9.6 MB
- SHA256:
- 6a299be80d4165a4a67602dee6b67a3998351dc49829fbb73eb000098185c115
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