Instructions to use BothBosu/cnn-scam-classifier-v1.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/cnn-scam-classifier-v1.4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BothBosu/cnn-scam-classifier-v1.4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60ed2e41d95ef8ae6098fc6b159e8b77fb058bc3828384aa7cb029db9134dfd7
- Size of remote file:
- 16.4 MB
- SHA256:
- 738f98915b0580116c0b55db46ee01b29637978e4d03f9f551b9b84473470ceb
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