Instructions to use leeboykt/sms_spam_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leeboykt/sms_spam_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leeboykt/sms_spam_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leeboykt/sms_spam_detection") model = AutoModelForSequenceClassification.from_pretrained("leeboykt/sms_spam_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
pytorch_model.bin
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runs/May24_12-03-19_eef74dd6ba59/events.out.tfevents.1684929817.eef74dd6ba59.422.0
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