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:
- ad60e87e93ed684531bf21b3a396ec559f8ec82165436cfc95114f8f171161d8
- Size of remote file:
- 2.03 kB
- SHA256:
- b10bf42a18594fdedf4ec7422d233d87da8018c4a7fc8137e86f5466d7a2ac48
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