Text Classification
Transformers
PyTorch
Safetensors
English
spam
sms
SMS
Text
text
Spam
Email
email
Instructions to use Roman190928/SpamClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roman190928/SpamClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Roman190928/SpamClassifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Roman190928/SpamClassifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 916ec488c642a246e6c2094ab6c08868745b9c70c0a5cc4289f29f61f9d8f82b
- Size of remote file:
- 606 MB
- SHA256:
- 0435c1bf17a6bec9c74eec27cc4f46c43c4c6c7979dfdee920236b0128c76857
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