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