commit files to HF hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+images/Algae0.png filter=lfs diff=lfs merge=lfs -text
+images/Boiling0.png filter=lfs diff=lfs merge=lfs -text
+images/BoilingNight0.png filter=lfs diff=lfs merge=lfs -text
+images/Normal0.png filter=lfs diff=lfs merge=lfs -text
+images/NormalCement0.png filter=lfs diff=lfs merge=lfs -text
+images/NormalNight0.png filter=lfs diff=lfs merge=lfs -text
+images/NormalRain0.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,60 @@
+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: pond_image_classification_12
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.997732400894165
+---
+
+# pond_image_classification_12
+
+
+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
+
+
+#### Algae0
+
+![Algae0](images/Algae0.png)
+
+#### Boiling0
+
+![Boiling0](images/Boiling0.png)
+
+#### BoilingNight0
+
+![BoilingNight0](images/BoilingNight0.png)
+
+#### Normal0
+
+![Normal0](images/Normal0.png)
+
+#### NormalCement0
+
+![NormalCement0](images/NormalCement0.png)
+
+#### NormalNight0
+
+![NormalNight0](images/NormalNight0.png)
+
+#### NormalRain0
+
+![NormalRain0](images/NormalRain0.png)

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": "Algae0",
+    "1": "Boiling0",
+    "2": "BoilingNight0",
+    "3": "Normal0",
+    "4": "NormalCement0",
+    "5": "NormalNight0",
+    "6": "NormalRain0"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Algae0": "0",
+    "Boiling0": "1",
+    "BoilingNight0": "2",
+    "Normal0": "3",
+    "NormalCement0": "4",
+    "NormalNight0": "5",
+    "NormalRain0": "6"
+  },
+  "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": "4.21.0"
+}

preprocessor_config.json

@@ -0,0 +1,17 @@
+{
+  "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 343279537

runs/events.out.tfevents.1659282336.b833b3f63651.70.1

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