commit files to HF hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+images/number_2.jpg filter=lfs diff=lfs merge=lfs -text
+images/number_3.jpg filter=lfs diff=lfs merge=lfs -text
+images/number_4.jpg filter=lfs diff=lfs merge=lfs -text
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+images/number_9.jpg filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: digit_recognition2
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.19801980257034302
+---
+
+# digit_recognition2
+
+
+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
+
+
+#### number 1
+
+![number 1](images/number_1.jpg)
+
+#### number 2
+
+![number 2](images/number_2.jpg)
+
+#### number 3
+
+![number 3](images/number_3.jpg)
+
+#### number 4
+
+![number 4](images/number_4.jpg)
+
+#### number 5
+
+![number 5](images/number_5.jpg)
+
+#### number 6
+
+![number 6](images/number_6.jpg)
+
+#### number 7
+
+![number 7](images/number_7.jpg)
+
+#### number 8
+
+![number 8](images/number_8.jpg)
+
+#### number 9
+
+![number 9](images/number_9.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": "number 1",
+    "1": "number 2",
+    "2": "number 3",
+    "3": "number 4",
+    "4": "number 5",
+    "5": "number 6",
+    "6": "number 7",
+    "7": "number 8",
+    "8": "number 9"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "number 1": "0",
+    "number 2": "1",
+    "number 3": "2",
+    "number 4": "3",
+    "number 5": "4",
+    "number 6": "5",
+    "number 7": "6",
+    "number 8": "7",
+    "number 9": "8"
+  },
+  "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": "4.31.0"
+}

preprocessor_config.json

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+{
+  "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
+  }
+}

pytorch_model.bin

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+size 343287469

runs/events.out.tfevents.1690714937.e0cfb10a83dd.513.1

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