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
| from transformers import AutoModel | |
| MODEL_ID = "pszmk/mnist-vae-latent2" | |
| REVISION = "main" | |
| model = AutoModel.from_pretrained( | |
| MODEL_ID, | |
| revision=REVISION, | |
| trust_remote_code=True, | |
| ) | |
| print(model.__class__.__name__) | |