Add model

README.md

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+---
+tags:
+- image-classification
+- timm
+library_name: timm
+license: apache-2.0
+---
+# Model card for baseline-encoder-classification-convnextv2_base.fcmae_ft_in22k_in1k

config.json

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+{
+  "architecture": "convnextv2_base",
+  "num_classes": 0,
+  "num_features": 1024,
+  "pretrained_cfg": {
+    "tag": "fcmae_ft_in22k_in1k",
+    "custom_load": false,
+    "input_size": [
+      3,
+      224,
+      224
+    ],
+    "test_input_size": [
+      3,
+      288,
+      288
+    ],
+    "fixed_input_size": false,
+    "interpolation": "bicubic",
+    "crop_pct": 0.875,
+    "test_crop_pct": 1.0,
+    "crop_mode": "center",
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ],
+    "num_classes": 1000,
+    "pool_size": [
+      7,
+      7
+    ],
+    "first_conv": "stem.0",
+    "classifier": "head.fc",
+    "license": "cc-by-nc-4.0",
+    "origin_url": "https://github.com/facebookresearch/ConvNeXt-V2",
+    "paper_name": "ConvNeXt-V2: Co-designing and Scaling ConvNets with Masked Autoencoders",
+    "paper_ids": "arXiv:2301.00808"
+  }
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c66791602d9840f36a48ea9eace93aee35fc17e3507d4b4ced38109d3d4c82c5
+size 350917298