commit files to HF hub

.gitattributes

@@ -33,3 +33,19 @@ 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/FreshApple.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshBanana.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshGrape.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshGuava.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshJujube.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshOrange.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshPomegranate.jpg filter=lfs diff=lfs merge=lfs -text
+images/FreshStrawberry.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenApple.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenBanana.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenGrape.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenGuava.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenJujube.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenOrange.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenPomegranate.jpg filter=lfs diff=lfs merge=lfs -text
+images/RottenStrawberry.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,96 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: fruitripenessv2
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.9977777600288391
+---
+
+# fruitripenessv2
+
+
+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
+
+
+#### FreshApple
+
+![FreshApple](images/FreshApple.jpg)
+
+#### FreshBanana
+
+![FreshBanana](images/FreshBanana.jpg)
+
+#### FreshGrape
+
+![FreshGrape](images/FreshGrape.jpg)
+
+#### FreshGuava
+
+![FreshGuava](images/FreshGuava.jpg)
+
+#### FreshJujube
+
+![FreshJujube](images/FreshJujube.jpg)
+
+#### FreshOrange
+
+![FreshOrange](images/FreshOrange.jpg)
+
+#### FreshPomegranate
+
+![FreshPomegranate](images/FreshPomegranate.jpg)
+
+#### FreshStrawberry
+
+![FreshStrawberry](images/FreshStrawberry.jpg)
+
+#### RottenApple
+
+![RottenApple](images/RottenApple.jpg)
+
+#### RottenBanana
+
+![RottenBanana](images/RottenBanana.jpg)
+
+#### RottenGrape
+
+![RottenGrape](images/RottenGrape.jpg)
+
+#### RottenGuava
+
+![RottenGuava](images/RottenGuava.jpg)
+
+#### RottenJujube
+
+![RottenJujube](images/RottenJujube.jpg)
+
+#### RottenOrange
+
+![RottenOrange](images/RottenOrange.jpg)
+
+#### RottenPomegranate
+
+![RottenPomegranate](images/RottenPomegranate.jpg)
+
+#### RottenStrawberry
+
+![RottenStrawberry](images/RottenStrawberry.jpg)

config.json

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+{
+  "_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": "FreshApple",
+    "1": "FreshBanana",
+    "10": "RottenGrape",
+    "11": "RottenGuava",
+    "12": "RottenJujube",
+    "13": "RottenOrange",
+    "14": "RottenPomegranate",
+    "15": "RottenStrawberry",
+    "2": "FreshGrape",
+    "3": "FreshGuava",
+    "4": "FreshJujube",
+    "5": "FreshOrange",
+    "6": "FreshPomegranate",
+    "7": "FreshStrawberry",
+    "8": "RottenApple",
+    "9": "RottenBanana"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "FreshApple": "0",
+    "FreshBanana": "1",
+    "FreshGrape": "2",
+    "FreshGuava": "3",
+    "FreshJujube": "4",
+    "FreshOrange": "5",
+    "FreshPomegranate": "6",
+    "FreshStrawberry": "7",
+    "RottenApple": "8",
+    "RottenBanana": "9",
+    "RottenGrape": "10",
+    "RottenGuava": "11",
+    "RottenJujube": "12",
+    "RottenOrange": "13",
+    "RottenPomegranate": "14",
+    "RottenStrawberry": "15"
+  },
+  "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": "4.41.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "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
+  }
+}

runs/events.out.tfevents.1718699950.7992248dfde0.317.0

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