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:
- 8bd1c207364001bdc8ded7e0a0bd19fac1b3dafa0dcaa086b6be56a5abe59580
- Size of remote file:
- 329 MB
- SHA256:
- 1baed2030b89fe67df43abe5ecdfcabe498f27872efff1b44b0df33e190a2f9f
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