| | --- |
| | tags: |
| | - image-classification |
| | - timm |
| | pipeline_tag: image-classification |
| | library_name: timm |
| | license: apache-2.0 |
| | --- |
| | # Model card for convnextv2-tiny-k5-in1k-128 |
| |
|
| | ConvNeXtV2-Tiny (k=5) trained from scratch on ImageNet-1K @128x128. |
| |
|
| | ## Training Recipe: |
| | - ConvNeXt supervised recipe -- Table 5. |
| | - BF16 AMP |
| |
|
| | ## Model Details |
| | - **Model:** convnextv2_tiny |
| | - **Model Kwargs:** |
| | - kernel_sizes: 5 |
| | - **Input Size:** |
| | - 3x128x128 |
| | - **Top-1 Accuracy:** 79.73000010971069 |
| |
|
| | ## Model Usage |
| | ```python |
| | import timm |
| | model = timm.create_model('hf-hub:PRadecki/convnextv2-tiny-k5-in1k-128-sup', pretrained=True) |
| | model.eval() |
| | ``` |
| |
|
| |
|
