Instructions to use ebrasha/abdal-xss-ai-engine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ebrasha/abdal-xss-ai-engine 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://ebrasha/abdal-xss-ai-engine") - Notebooks
- Google Colab
- Kaggle
Download Abdal_XSS_AI_Engine_TensorFlow/saved_model.pb from ebrasha/abdal-xss-ai-engine: direct link, hf CLI and curl.
- Browser
- Download file 62.5 kB
-
https://huggingface.co/ebrasha/abdal-xss-ai-engine/resolve/main/Abdal_XSS_AI_Engine_TensorFlow/saved_model.pb
- Command line
-
hf download hf://ebrasha/abdal-xss-ai-engine/Abdal_XSS_AI_Engine_TensorFlow/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/ebrasha/abdal-xss-ai-engine/resolve/main/Abdal_XSS_AI_Engine_TensorFlow/saved_model.pb
62.5 kB
- Xet hash:
- c66fe5770ff3ea4df184c01392310050203ee0d8597d183497c24f7b05895064
- Size of remote file:
- 62.5 kB
- SHA256:
- 34e1b7b6b64fd17d0a896a5c9acf1f3db3c290cc6f63876eea2642f30dd422e5
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