Instructions to use BothBosu/cnn-scam-classifier-v1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/cnn-scam-classifier-v1.3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BothBosu/cnn-scam-classifier-v1.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1eb04228c7fb9c3fbc5a2d4309bd0d5a7c3a25665e4ad89086c27380996100f
- Size of remote file:
- 16.4 MB
- SHA256:
- fcaf297d49030d5b9ce448c6988e2ab9f3fc199efa020704c95c8f7dea2dae29
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