Instructions to use nateraw/resnet101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/resnet101 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nateraw/resnet101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "block": "bottleneck", | |
| "groups": 1, | |
| "layers": [ | |
| 3, | |
| 4, | |
| 23, | |
| 3 | |
| ], | |
| "model_type": "resnet", | |
| "norm_layer": null, | |
| "num_labels": 1000, | |
| "output_size": 2048, | |
| "replace_stride_with_dilation": null, | |
| "width_per_group": 64, | |
| "zero_init_residual": false | |
| } | |