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
Download training_args.bin from Code-Dev/xdefender-edge-sms: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/Code-Dev/xdefender-edge-sms/resolve/main/training_args.bin
- Command line
-
hf download hf://Code-Dev/xdefender-edge-sms/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Code-Dev/xdefender-edge-sms/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 7e0f32d6408b38dd15fda3ddf7478bd9c88fb2e1b2fdd52131ee98a66c2b170a
- Size of remote file:
- 5.27 kB
- SHA256:
- 4e0da4559b8f4b2ad8706dd353cbd4966810a01a027375449eb6e869fc3e04f1
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