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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 323 Bytes
18cbd0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"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
}
|