Instructions to use mrm8488/bert-tiny-finetuned-sms-spam-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert-tiny-finetuned-sms-spam-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/bert-tiny-finetuned-sms-spam-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert-tiny-finetuned-sms-spam-detection") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/bert-tiny-finetuned-sms-spam-detection") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df5c245013425612afc19c594e62850552eb62b0933f1ad1840076bf22883f8f
- Size of remote file:
- 17.6 MB
- SHA256:
- 2f3645d7e83cfc96cd781210dfc7dd879ef187a04df644d6a8f34138b9d6a9b1
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