Instructions to use pszmk/mnist-vae-latent2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszmk/mnist-vae-latent2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pszmk/mnist-vae-latent2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pszmk/mnist-vae-latent2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "MNISTVAE" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "config.MNISTVAEConfig", | |
| "AutoModel": "model.MNISTVAE" | |
| }, | |
| "dtype": "float32", | |
| "hidden_dim": 400, | |
| "image_size": 28, | |
| "input_dim": 784, | |
| "latent_dim": 2, | |
| "model_type": "mnistvae", | |
| "transformers_version": "4.57.3", | |
| "vocab_size": 2 | |
| } | |