Instructions to use Library-Mutsumi/camie_tagger_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Library-Mutsumi/camie_tagger_onnx with timm:
import timm model = timm.create_model("hf_hub:Library-Mutsumi/camie_tagger_onnx", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "created_at": 1741666154.0, | |
| "flops": 64671905728.0, | |
| "init_num_classes": 70527, | |
| "init_num_features": 1280, | |
| "input_size": 512, | |
| "macro_f1": 0.38270470569601606, | |
| "macro_precision": 0.3817001935890566, | |
| "macro_recall": 0.425681498855393, | |
| "micro_f1": 0.584055931756222, | |
| "micro_precision": 0.49797922993289095, | |
| "micro_recall": 0.7061081282228483, | |
| "model_filename": "model_initial.safetensors", | |
| "name": "initial", | |
| "params": 214144479.0, | |
| "refined_num_classes": 70527, | |
| "refined_num_features": 1280, | |
| "repo_id": "Camais03/camie-tagger", | |
| "threshold": 0.25757578015327454 | |
| } |