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
File size: 129 Bytes
f4734d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4e0da4559b8f4b2ad8706dd353cbd4966810a01a027375449eb6e869fc3e04f1
size 5265
|