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
+images/butterfly.jpg filter=lfs diff=lfs merge=lfs -text
+images/cat.jpg filter=lfs diff=lfs merge=lfs -text
+images/chicken.jpg filter=lfs diff=lfs merge=lfs -text
+images/cow.jpg filter=lfs diff=lfs merge=lfs -text
+images/dog.jpg filter=lfs diff=lfs merge=lfs -text
+images/elephant.jpg filter=lfs diff=lfs merge=lfs -text
+images/horse.jpg filter=lfs diff=lfs merge=lfs -text
+images/sheep.jpg filter=lfs diff=lfs merge=lfs -text
+images/spider.jpg filter=lfs diff=lfs merge=lfs -text
+images/squirrel.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,72 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: animal-classifier
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 1.0
+---
+
+# animal-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
+
+
+#### butterfly
+
+![butterfly](images/butterfly.jpg)
+
+#### cat
+
+![cat](images/cat.jpg)
+
+#### chicken
+
+![chicken](images/chicken.jpg)
+
+#### cow
+
+![cow](images/cow.jpg)
+
+#### dog
+
+![dog](images/dog.jpg)
+
+#### elephant
+
+![elephant](images/elephant.jpg)
+
+#### horse
+
+![horse](images/horse.jpg)
+
+#### sheep
+
+![sheep](images/sheep.jpg)
+
+#### spider
+
+![spider](images/spider.jpg)
+
+#### squirrel
+
+![squirrel](images/squirrel.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": "butterfly",
+    "1": "cat",
+    "2": "chicken",
+    "3": "cow",
+    "4": "dog",
+    "5": "elephant",
+    "6": "horse",
+    "7": "sheep",
+    "8": "spider",
+    "9": "squirrel"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "butterfly": "0",
+    "cat": "1",
+    "chicken": "2",
+    "cow": "3",
+    "dog": "4",
+    "elephant": "5",
+    "horse": "6",
+    "sheep": "7",
+    "spider": "8",
+    "squirrel": "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": "4.21.1"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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+size 343288753

runs/events.out.tfevents.1660276469.0a1431aab948.71.0

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