Instructions to use satish860/sms_detection_algorithm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satish860/sms_detection_algorithm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="satish860/sms_detection_algorithm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("satish860/sms_detection_algorithm") model = AutoModelForSequenceClassification.from_pretrained("satish860/sms_detection_algorithm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 039ae4b8af15f8e61f21174511f3762a3b0a5facd623776853f65ea4edef41ea
- Size of remote file:
- 3.06 kB
- SHA256:
- 4cf84a83301f493646dbc3386b7f29590bb819612889f47fbc83bb3346ce69f4
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