Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,44 @@
+
+    ---
+    tags:
+    - image-classification
+    - ecology
+    - fungi
+    library_name: DanishFungi
+    license: cc-by-nc-4.0
+    ---
+    # Model card for MHanzl/DF23M-mobilenetv2_100.ra_in1k_224
+
+    A Swin-S image feature model. Superwisely pre-trained on animal re-identification datasets.
+
+
+    ## Model Details
+    - **Model Type:** Danish Fungi Classification 
+    - **Model Stats:**
+      - Params (M): ??
+      - Image size: [224, 224] x [224, 224]
+    - **Papers:**
+    - **Original:** ??
+    - **Train Dataset:** DF23M --> https://sites.google.com/view/danish-fungi-dataset
+
+    ## Model Usage
+    ### Image Embeddings
+    ```python
+    import timm
+    import torch
+    import torchvision.transforms as T
+    from PIL import Image
+    from urllib.request import urlopen
+    model = timm.create_model("hf-hub:MHanzl/DF23M-mobilenetv2_100.ra_in1k_224", pretrained=True)
+    model = model.eval()
+    train_transforms = T.Compose([T.Resize([224, 224]), 
+                                  T.ToTensor(), 
+                                  T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]) 
+    img = Image.open(PATH_TO_YOUR_IMAGE)
+    output = model(train_transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
+    # output is a (1, num_features) shaped tensor
+    ```
+
+    ## Citation
+
+