Instructions to use natolambert/unet-rl-hopper-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natolambert/unet-rl-hopper-tmp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("natolambert/unet-rl-hopper-tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "TemporalUnet", | |
| "_diffusers_version": "0.0.4", | |
| "horizon": 128, | |
| "dim": 32, | |
| "dim_mults": [1, 4, 8], | |
| "transition_dim": 14, | |
| "cond_dim": 3 | |
| } |