Feature Extraction
Transformers
Safetensors
PyTorch
autoencoder
reconstruction
preprocessing
normalizing-flow
scaler
custom_code
Instructions to use amaye15/autoencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaye15/autoencoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="amaye15/autoencoder", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amaye15/autoencoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Python-generated files | |
| __pycache__/ | |
| *.py[oc] | |
| build/ | |
| dist/ | |
| wheels/ | |
| *.egg-info | |
| # Virtual environments | |
| .venv | |
| tests/* |