commit files to HF hub
Browse files- .gitattributes +5 -0
- README.md +52 -0
- config.json +38 -0
- images/2d_fish.jpg +3 -0
- images/2d_fish_color.jpg +3 -0
- images/2d_fish_line_art.jpg +3 -0
- images/2d_fish_outline.jpg +3 -0
- images/2d_fish_sketch.jpg +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1677813715.0abcd3fac530.217.0 +3 -0
.gitattributes
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@@ -32,3 +32,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images/2d_fish.jpg filter=lfs diff=lfs merge=lfs -text
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images/2d_fish_color.jpg filter=lfs diff=lfs merge=lfs -text
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images/2d_fish_line_art.jpg filter=lfs diff=lfs merge=lfs -text
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images/2d_fish_outline.jpg filter=lfs diff=lfs merge=lfs -text
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images/2d_fish_sketch.jpg filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- image-classification
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- pytorch
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- huggingpics
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metrics:
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- accuracy
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model-index:
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- name: fish
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results:
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- task:
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name: Image Classification
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type: image-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8571428656578064
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---
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# fish
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Autogenerated by HuggingPics🤗🖼️
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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).
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Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
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## Example Images
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#### 2d fish
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![2d fish](images/2d_fish.jpg)
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#### 2d fish color
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![2d fish color](images/2d_fish_color.jpg)
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#### 2d fish line art
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![2d fish line art](images/2d_fish_line_art.jpg)
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#### 2d fish outline
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![2d fish outline](images/2d_fish_outline.jpg)
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#### 2d fish sketch
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![2d fish sketch](images/2d_fish_sketch.jpg)
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config.json
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{
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"_name_or_path": "google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "2d fish",
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"1": "2d fish color",
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"2": "2d fish line art",
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"3": "2d fish outline",
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"4": "2d fish sketch"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"2d fish": "0",
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"2d fish color": "1",
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"2d fish line art": "2",
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"2d fish outline": "3",
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"2d fish sketch": "4"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.26.1"
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}
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images/2d_fish.jpg
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Git LFS Details
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images/2d_fish_color.jpg
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Git LFS Details
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images/2d_fish_line_art.jpg
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Git LFS Details
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images/2d_fish_outline.jpg
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Git LFS Details
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images/2d_fish_sketch.jpg
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Git LFS Details
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTFeatureExtractor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:af96f97f0f0aa27f9363f0b8629dd51c4245209534d67fd7b14b7b87677cbc9f
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size 343275181
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runs/events.out.tfevents.1677813715.0abcd3fac530.217.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:924256cfa7348e6267b408a90c895fe7e01e779c157eb79ee177ee842d1c0395
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size 972
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