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:
- e509fd90ea0e6a630bdb21072e4822d867b198e5aca5aa8ea820d274f3514fef
- Size of remote file:
- 17.5 MB
- SHA256:
- 2c12f9c8ae679e56a505bf7e5979bd39e7415d82e63a157d6486641c5827252c
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