Text Classification
Keras
social-engineering-detection
phishing-detection
spam-detection
tensorflow
cybersecurity
Instructions to use DhruvSoni/social-engineering-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DhruvSoni/social-engineering-detector with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://DhruvSoni/social-engineering-detector") - Notebooks
- Google Colab
- Kaggle
Download vectorizer_config.json from DhruvSoni/social-engineering-detector: direct link, hf CLI and curl.
- Browser
- Download file 75 Bytes
-
https://huggingface.co/DhruvSoni/social-engineering-detector/resolve/main/vectorizer_config.json
- Command line
-
hf download hf://DhruvSoni/social-engineering-detector/vectorizer_config.json
-
curl -L -o vectorizer_config.json https://huggingface.co/DhruvSoni/social-engineering-detector/resolve/main/vectorizer_config.json
75 Bytes
| { | |
| "max_tokens": 20000, | |
| "max_seq_len": 200, | |
| "vocabulary_size": 20000 | |
| } |