Add model

README.md

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+---
+tags:
+- image-classification
+- timm
+library_name: timm
+license: apache-2.0
+---
+# Model card for convnext-eurosat

config.json

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+{
+  "architecture": "convnextv2_tiny",
+  "num_classes": 10,
+  "num_features": 768,
+  "label_names": [
+    "AnnualCrop",
+    "Forest",
+    "HerbaceousVegetation",
+    "Highway",
+    "Industrial",
+    "Pasture",
+    "PermanentCrop",
+    "Residential",
+    "River",
+    "SeaLake"
+  ],
+  "pretrained_cfg": {
+    "tag": "fcmae_ft_in22k_in1k_384",
+    "custom_load": false,
+    "input_size": [
+      3,
+      384,
+      384
+    ],
+    "fixed_input_size": false,
+    "interpolation": "bicubic",
+    "crop_pct": 1.0,
+    "crop_mode": "squash",
+    "mean": [
+      0.485,
+      0.456,
+      0.406
+    ],
+    "std": [
+      0.229,
+      0.224,
+      0.225
+    ],
+    "num_classes": 1000,
+    "pool_size": [
+      12,
+      12
+    ],
+    "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"
+  }
+}

model.safetensors

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+oid sha256:e5e575d5a1a36399e15ae1e0aa9cfeb4cb924b0d809631a474151aa17500bb88
+size 111516336

pytorch_model.bin

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+oid sha256:052f24415265bf7c11883d071dedff2afd7e11e00fb6d17f279832addab89de4
+size 111573610