AliGhiasvand86
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commit files to HF hub
Browse files- .gitattributes +9 -0
- README.md +68 -0
- config.json +46 -0
- images/1.jpg +3 -0
- images/2.jpg +3 -0
- images/3.jpg +3 -0
- images/4.jpg +3 -0
- images/5.jpg +3 -0
- images/6.jpg +3 -0
- images/7.jpg +3 -0
- images/8.jpg +3 -0
- images/9.jpg +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1690714145.e0cfb10a83dd.513.0 +3 -0
.gitattributes
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@@ -33,3 +33,12 @@ 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/1.jpg filter=lfs diff=lfs merge=lfs -text
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images/2.jpg filter=lfs diff=lfs merge=lfs -text
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images/3.jpg filter=lfs diff=lfs merge=lfs -text
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images/4.jpg filter=lfs diff=lfs merge=lfs -text
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images/5.jpg filter=lfs diff=lfs merge=lfs -text
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images/6.jpg filter=lfs diff=lfs merge=lfs -text
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images/7.jpg filter=lfs diff=lfs merge=lfs -text
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images/8.jpg filter=lfs diff=lfs merge=lfs -text
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images/9.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: digit_recognition
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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: 0.10891088843345642
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---
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# digit_recognition
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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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#### 1
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![1](images/1.jpg)
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#### 2
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![2](images/2.jpg)
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#### 3
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![3](images/3.jpg)
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#### 4
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![4](images/4.jpg)
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#### 5
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![5](images/5.jpg)
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#### 6
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![6](images/6.jpg)
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#### 7
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![7](images/7.jpg)
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#### 8
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![8](images/8.jpg)
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#### 9
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![9](images/9.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": "1",
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"1": "2",
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"2": "3",
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"3": "4",
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"4": "5",
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"5": "6",
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"6": "7",
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"7": "8",
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"8": "9"
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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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"1": "0",
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"2": "1",
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"3": "2",
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"4": "3",
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"5": "4",
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"6": "5",
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"7": "6",
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"8": "7",
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"9": "8"
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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": "4.31.0"
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}
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images/1.jpg
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Git LFS Details
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images/2.jpg
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Git LFS Details
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images/3.jpg
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Git LFS Details
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images/4.jpg
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Git LFS Details
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images/5.jpg
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Git LFS Details
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images/6.jpg
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Git LFS Details
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images/7.jpg
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Git LFS Details
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images/8.jpg
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Git LFS Details
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images/9.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
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:846878bcd368fa6039354e038fb4426bb92a30f3464fd0907ee99fcc7f2f85dc
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size 343287469
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runs/events.out.tfevents.1690714145.e0cfb10a83dd.513.0
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:9525ec4a06c98b57ffa3f3adcd40812a8dc924e23cf13f2adbe2802859c0726a
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size 1960
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