Instructions to use cssupport/mobilebert-sql-injection-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cssupport/mobilebert-sql-injection-detect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cssupport/mobilebert-sql-injection-detect")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("cssupport/mobilebert-sql-injection-detect") model = AutoModelForPreTraining.from_pretrained("cssupport/mobilebert-sql-injection-detect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91c2b5fde7357a0b0d3fe6eb5b72fa1ed222d2222160b7990dc5c5717c10d446
- Size of remote file:
- 98.5 MB
- SHA256:
- 2a8e0a2340289835a7295cadaffaa7d182aab414c93973bd08f378d437823bad
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