Instructions to use BothBosu/bilstm-scam-classifier-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BothBosu/bilstm-scam-classifier-v1.1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BothBosu/bilstm-scam-classifier-v1.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfec64b7fe5069c2dfdd5e616ce5d8f4758eb8485e005467019bf4637c83972d
- Size of remote file:
- 188 MB
- SHA256:
- d61e9382b2b8798cf2e1b5bcf81088432d5e4445097a9c31e8b878b8797c35d5
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