Instructions to use AeonAIRisk/npz-object-array-ace-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use AeonAIRisk/npz-object-array-ace-poc with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://AeonAIRisk/npz-object-array-ace-poc") - Notebooks
- Google Colab
- Kaggle
| import numpy as np, os | |
| MARKER = r"C:/Users/uozer/AppData/Local/Temp/opencode/NPZ_PWN.txt" | |
| if os.path.exists(MARKER): | |
| os.remove(MARKER) | |
| print("before load, marker:", os.path.exists(MARKER)) | |
| d = np.load(r"D:\0projects\bountykimi\tmp\evil_npz.npz", allow_pickle=True) | |
| _ = d["data"] | |
| print("after load, marker:", os.path.exists(MARKER)) | |
| if os.path.exists(MARKER): | |
| print("content:", open(MARKER).read()) | |