Add model

README.md

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+---
+tags:
+- image-classification
+- timm
+library_tag: timm
+license: apache-2.0
+---
+# Model card for convnext_tiny.in12k
+
+A ConvNeXt image classification model. Trained on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
+
+ ImageNet-12k training done on TPUs thanks to support of the [TRC](https://sites.research.google/trc/about/) program.
+
+
+## Model Details
+- **Model Type:** Image classification / feature backbone
+
+## Citation
+```
+@misc{rw2019timm,
+  author = {Ross Wightman},
+  title = {PyTorch Image Models},
+  year = {2019},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  doi = {10.5281/zenodo.4414861},
+  howpublished = {\url{https://github.com/rwightman/pytorch-image-models}}
+}
+```
+```
+@article{liu2022convnet,
+  author  = {Zhuang Liu and Hanzi Mao and Chao-Yuan Wu and Christoph Feichtenhofer and Trevor Darrell and Saining Xie},
+  title   = {A ConvNet for the 2020s},
+  journal = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year    = {2022},
+}
+```

config.json

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+{
+  "architecture": "convnext_tiny",
+  "num_classes": 11821,
+  "num_features": 768,
+  "pretrained_cfg": {
+    "tag": "in12k",
+    "custom_load": false,
+    "input_size": [
+      3,
+      224,
+      224
+    ],
+    "fixed_input_size": false,
+    "interpolation": "bicubic",
+    "crop_pct": 0.95,
+    "crop_mode": "center",
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ],
+    "num_classes": 11821,
+    "pool_size": [
+      7,
+      7
+    ],
+    "first_conv": "stem.0",
+    "classifier": "head.fc"
+  }
+}

pytorch_model.bin

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+size 147706261