commit files to HF hub

.gitattributes

@@ -33,3 +33,13 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+images/Acne.jpg filter=lfs diff=lfs merge=lfs -text
+images/Basal_Cell_Carcinoma.jpg filter=lfs diff=lfs merge=lfs -text
+images/Eczema.jpg filter=lfs diff=lfs merge=lfs -text
+images/Melanoma.jpg filter=lfs diff=lfs merge=lfs -text
+images/Psoriasis.jpg filter=lfs diff=lfs merge=lfs -text
+images/Ringworm.jpg filter=lfs diff=lfs merge=lfs -text
+images/Rosacea.jpg filter=lfs diff=lfs merge=lfs -text
+images/Seborrheic_Dermatitis.jpg filter=lfs diff=lfs merge=lfs -text
+images/Shingles_(Herpes_Zoster).jpg filter=lfs diff=lfs merge=lfs -text
+images/Vitiligo.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,72 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: skin-disorders-classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.692307710647583
+---
+
+# skin-disorders-classifier
+
+
+Autogenerated by HuggingPics🤗🖼️
+
+Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
+
+Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
+
+
+## Example Images
+
+
+#### Acne
+
+![Acne](images/Acne.jpg)
+
+#### Basal Cell Carcinoma
+
+![Basal Cell Carcinoma](images/Basal_Cell_Carcinoma.jpg)
+
+#### Eczema
+
+![Eczema](images/Eczema.jpg)
+
+#### Melanoma
+
+![Melanoma](images/Melanoma.jpg)
+
+#### Psoriasis
+
+![Psoriasis](images/Psoriasis.jpg)
+
+#### Ringworm
+
+![Ringworm](images/Ringworm.jpg)
+
+#### Rosacea
+
+![Rosacea](images/Rosacea.jpg)
+
+#### Seborrheic Dermatitis
+
+![Seborrheic Dermatitis](images/Seborrheic_Dermatitis.jpg)
+
+#### Shingles (Herpes Zoster)
+
+![Shingles (Herpes Zoster)](images/Shingles_(Herpes_Zoster).jpg)
+
+#### Vitiligo
+
+![Vitiligo](images/Vitiligo.jpg)

config.json

@@ -0,0 +1,48 @@
+{
+  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Acne",
+    "1": "Basal Cell Carcinoma",
+    "2": "Eczema",
+    "3": "Melanoma",
+    "4": "Psoriasis",
+    "5": "Ringworm",
+    "6": "Rosacea",
+    "7": "Seborrheic Dermatitis",
+    "8": "Shingles (Herpes Zoster)",
+    "9": "Vitiligo"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Acne": "0",
+    "Basal Cell Carcinoma": "1",
+    "Eczema": "2",
+    "Melanoma": "3",
+    "Psoriasis": "4",
+    "Ringworm": "5",
+    "Rosacea": "6",
+    "Seborrheic Dermatitis": "7",
+    "Shingles (Herpes Zoster)": "8",
+    "Vitiligo": "9"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42581e8102b6b4b9ac9597de68afc1af5d7615a80cdf7f564639aef15040013f
+size 343248584

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}