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:
- 99277df59e733551a0c60a4eded558f2e7a3db87c79b52f6fe87b2bb556114d7
- Size of remote file:
- 98.8 MB
- SHA256:
- 142583dea56c196ffb62420bb358f39a1dfd67fcc7a971dabdc8bc694bea5306
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