Instructions to use lucrbrtv/idm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lucrbrtv/idm with Transformers:
# Load model directly from transformers import IDM model = IDM.from_pretrained("lucrbrtv/idm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "IDM" | |
| ], | |
| "context_len": 16, | |
| "dim": 384, | |
| "dropout_proba": 0.15, | |
| "dtype": "float32", | |
| "ffn_mult": 3, | |
| "height": 240, | |
| "model_type": "idm", | |
| "n_blocks": 4, | |
| "n_buttons": 9, | |
| "n_heads": 16, | |
| "patch_size": 16, | |
| "transformers_version": "5.3.0", | |
| "use_cache": false, | |
| "width": 320 | |
| } | |