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
File size: 406 Bytes
88bd0c4 | 1 2 3 4 5 6 7 8 9 10 11 | 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())
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