commit files to HF hub

.gitattributes

@@ -33,3 +33,21 @@ 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/Corals.jpg filter=lfs diff=lfs merge=lfs -text
+images/Crabs.jpg filter=lfs diff=lfs merge=lfs -text
+images/Eel.jpg filter=lfs diff=lfs merge=lfs -text
+images/Jelly_Fish.jpg filter=lfs diff=lfs merge=lfs -text
+images/Lobster.jpg filter=lfs diff=lfs merge=lfs -text
+images/Nudibranchs.jpg filter=lfs diff=lfs merge=lfs -text
+images/Octopus.jpg filter=lfs diff=lfs merge=lfs -text
+images/Penguin.jpg filter=lfs diff=lfs merge=lfs -text
+images/Puffers.jpg filter=lfs diff=lfs merge=lfs -text
+images/Sea_Rays.jpg filter=lfs diff=lfs merge=lfs -text
+images/Sea_Urchins.jpg filter=lfs diff=lfs merge=lfs -text
+images/Seahorse.jpg filter=lfs diff=lfs merge=lfs -text
+images/Seal.jpg filter=lfs diff=lfs merge=lfs -text
+images/Sharks.jpg filter=lfs diff=lfs merge=lfs -text
+images/Squid.jpg filter=lfs diff=lfs merge=lfs -text
+images/Starfish.jpg filter=lfs diff=lfs merge=lfs -text
+images/Turtle_Tortoise.jpg filter=lfs diff=lfs merge=lfs -text
+images/Whale.jpg filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- image-classification
+- pytorch
+- huggingpics
+metrics:
+- accuracy
+
+model-index:
+- name: sea-animals
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    metrics:
+      - name: Accuracy
+        type: accuracy
+        value: 0.7677053809165955
+---
+
+# sea-animals
+
+
+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
+
+
+#### Corals
+
+![Corals](images/Corals.jpg)
+
+#### Crabs
+
+![Crabs](images/Crabs.jpg)
+
+#### Eel
+
+![Eel](images/Eel.jpg)
+
+#### Jelly Fish
+
+![Jelly Fish](images/Jelly_Fish.jpg)
+
+#### Lobster
+
+![Lobster](images/Lobster.jpg)
+
+#### Nudibranchs
+
+![Nudibranchs](images/Nudibranchs.jpg)
+
+#### Octopus
+
+![Octopus](images/Octopus.jpg)
+
+#### Penguin
+
+![Penguin](images/Penguin.jpg)
+
+#### Puffers
+
+![Puffers](images/Puffers.jpg)
+
+#### Sea Rays
+
+![Sea Rays](images/Sea_Rays.jpg)
+
+#### Sea Urchins
+
+![Sea Urchins](images/Sea_Urchins.jpg)
+
+#### Seahorse
+
+![Seahorse](images/Seahorse.jpg)
+
+#### Seal
+
+![Seal](images/Seal.jpg)
+
+#### Sharks
+
+![Sharks](images/Sharks.jpg)
+
+#### Squid
+
+![Squid](images/Squid.jpg)
+
+#### Starfish
+
+![Starfish](images/Starfish.jpg)
+
+#### Turtle_Tortoise
+
+![Turtle_Tortoise](images/Turtle_Tortoise.jpg)
+
+#### Whale
+
+![Whale](images/Whale.jpg)

config.json

@@ -0,0 +1,64 @@
+{
+  "_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": "Corals",
+    "1": "Crabs",
+    "10": "Sea Urchins",
+    "11": "Seahorse",
+    "12": "Seal",
+    "13": "Sharks",
+    "14": "Squid",
+    "15": "Starfish",
+    "16": "Turtle_Tortoise",
+    "17": "Whale",
+    "2": "Eel",
+    "3": "Jelly Fish",
+    "4": "Lobster",
+    "5": "Nudibranchs",
+    "6": "Octopus",
+    "7": "Penguin",
+    "8": "Puffers",
+    "9": "Sea Rays"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Corals": "0",
+    "Crabs": "1",
+    "Eel": "2",
+    "Jelly Fish": "3",
+    "Lobster": "4",
+    "Nudibranchs": "5",
+    "Octopus": "6",
+    "Penguin": "7",
+    "Puffers": "8",
+    "Sea Rays": "9",
+    "Sea Urchins": "10",
+    "Seahorse": "11",
+    "Seal": "12",
+    "Sharks": "13",
+    "Squid": "14",
+    "Starfish": "15",
+    "Turtle_Tortoise": "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": "4.41.1"
+}

model.safetensors

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+size 343273192

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.1717491581.a38b51dbe7a9.772.0

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