commit files to HF hub

.gitattributes

@@ -32,3 +32,21 @@ 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/bee.jpg filter=lfs diff=lfs merge=lfs -text
+images/beetle.jpg filter=lfs diff=lfs merge=lfs -text
+images/bird.jpg filter=lfs diff=lfs merge=lfs -text
+images/butterfly.jpg filter=lfs diff=lfs merge=lfs -text
+images/camel.jpg filter=lfs diff=lfs merge=lfs -text
+images/cat.jpg filter=lfs diff=lfs merge=lfs -text
+images/caterpillar.jpg filter=lfs diff=lfs merge=lfs -text
+images/crab.jpg filter=lfs diff=lfs merge=lfs -text
+images/dog.jpg filter=lfs diff=lfs merge=lfs -text
+images/fly.jpg filter=lfs diff=lfs merge=lfs -text
+images/grasshopper.jpg filter=lfs diff=lfs merge=lfs -text
+images/horse.jpg filter=lfs diff=lfs merge=lfs -text
+images/lizard.jpg filter=lfs diff=lfs merge=lfs -text
+images/mosquito.jpg filter=lfs diff=lfs merge=lfs -text
+images/mouse.jpg filter=lfs diff=lfs merge=lfs -text
+images/snake.jpg filter=lfs diff=lfs merge=lfs -text
+images/spider.jpg filter=lfs diff=lfs merge=lfs -text
+images/whale.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,104 @@
+---
+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: 0.9481481313705444
+---
+
+# 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
+
+
+#### bee
+
+![bee](images/bee.jpg)
+
+#### beetle
+
+![beetle](images/beetle.jpg)
+
+#### bird
+
+![bird](images/bird.jpg)
+
+#### butterfly
+
+![butterfly](images/butterfly.jpg)
+
+#### camel
+
+![camel](images/camel.jpg)
+
+#### cat
+
+![cat](images/cat.jpg)
+
+#### caterpillar
+
+![caterpillar](images/caterpillar.jpg)
+
+#### crab
+
+![crab](images/crab.jpg)
+
+#### dog
+
+![dog](images/dog.jpg)
+
+#### fly
+
+![fly](images/fly.jpg)
+
+#### grasshopper
+
+![grasshopper](images/grasshopper.jpg)
+
+#### horse
+
+![horse](images/horse.jpg)
+
+#### lizard
+
+![lizard](images/lizard.jpg)
+
+#### mosquito
+
+![mosquito](images/mosquito.jpg)
+
+#### mouse
+
+![mouse](images/mouse.jpg)
+
+#### snake
+
+![snake](images/snake.jpg)
+
+#### spider
+
+![spider](images/spider.jpg)
+
+#### whale
+
+![whale](images/whale.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": "bee",
+    "1": "beetle",
+    "10": "grasshopper",
+    "11": "horse",
+    "12": "lizard",
+    "13": "mosquito",
+    "14": "mouse",
+    "15": "snake",
+    "16": "spider",
+    "17": "whale",
+    "2": "bird",
+    "3": "butterfly",
+    "4": "camel",
+    "5": "cat",
+    "6": "caterpillar",
+    "7": "crab",
+    "8": "dog",
+    "9": "fly"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "bee": "0",
+    "beetle": "1",
+    "bird": "2",
+    "butterfly": "3",
+    "camel": "4",
+    "cat": "5",
+    "caterpillar": "6",
+    "crab": "7",
+    "dog": "8",
+    "fly": "9",
+    "grasshopper": "10",
+    "horse": "11",
+    "lizard": "12",
+    "mosquito": "13",
+    "mouse": "14",
+    "snake": "15",
+    "spider": "16",
+    "whale": "17"
+  },
+  "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": "4.24.0"
+}

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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runs/events.out.tfevents.1669645825.3f8d2665c785

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