Instructions to use Code-Dev/xdefender-edge-sms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Code-Dev/xdefender-edge-sms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Code-Dev/xdefender-edge-sms")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Code-Dev/xdefender-edge-sms") model = AutoModelForSequenceClassification.from_pretrained("Code-Dev/xdefender-edge-sms", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files- model.safetensors +1 -1
model.safetensors
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