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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leeboykt/sms_spam_detection") model = AutoModelForSequenceClassification.from_pretrained("leeboykt/sms_spam_detection") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0253dce7a1f8b316a498f9c29ba39eb8e2b065bbe529ee9114e87c1e674af9b4
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size 540025536
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