Instructions to use funmidab/xss-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use funmidab/xss-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="funmidab/xss-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("funmidab/xss-classifier") model = AutoModelForSequenceClassification.from_pretrained("funmidab/xss-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c213dc57faaa5b1edf311c485f71a5a72964a7585f70cdaa3a503690c14b64b
- Size of remote file:
- 268 MB
- SHA256:
- 1c73b3c8f800228580533e0767d97a572161a31d58fd982d88b47698b5e52635
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