Text Classification
Transformers
Safetensors
English
roberta
spam
sms
distilroberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use SharpWoofer/distilroberta-sms-spam-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SharpWoofer/distilroberta-sms-spam-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SharpWoofer/distilroberta-sms-spam-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SharpWoofer/distilroberta-sms-spam-detector") model = AutoModelForSequenceClassification.from_pretrained("SharpWoofer/distilroberta-sms-spam-detector") - Notebooks
- Google Colab
- Kaggle
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