commit files to HF hub
Browse files- .gitattributes +5 -0
- README.md +52 -0
- config.json +38 -0
- images/Headphones.jpg +3 -0
- images/Kitchen_hood.jpg +3 -0
- images/Laptop.jpg +3 -0
- images/Mobile_phone.jpg +3 -0
- images/Tablet.jpg +3 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- runs/events.out.tfevents.1670579630.da0d46ad4bd1 +3 -0
.gitattributes
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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/Headphones.jpg filter=lfs diff=lfs merge=lfs -text
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images/Kitchen_hood.jpg filter=lfs diff=lfs merge=lfs -text
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images/Laptop.jpg filter=lfs diff=lfs merge=lfs -text
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images/Mobile_phone.jpg filter=lfs diff=lfs merge=lfs -text
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images/Tablet.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: prdgrp-image-search
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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: 0.9108911156654358
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---
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# prdgrp-image-search
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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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#### Headphones
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![Headphones](images/Headphones.jpg)
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#### Kitchen hood
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![Kitchen hood](images/Kitchen_hood.jpg)
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#### Laptop
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![Laptop](images/Laptop.jpg)
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#### Mobile phone
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![Mobile phone](images/Mobile_phone.jpg)
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#### Tablet
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![Tablet](images/Tablet.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": "Headphones",
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"1": "Kitchen hood",
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"2": "Laptop",
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"3": "Mobile phone",
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"4": "Tablet"
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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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"Headphones": "0",
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"Kitchen hood": "1",
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"Laptop": "2",
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"Mobile phone": "3",
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"Tablet": "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": "4.25.1"
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}
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images/Headphones.jpg
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Git LFS Details
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images/Kitchen_hood.jpg
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Git LFS Details
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images/Laptop.jpg
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Git LFS Details
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images/Mobile_phone.jpg
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Git LFS Details
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images/Tablet.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": "ViTImageProcessor",
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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 sha256:787e276176e1b4755090c5e43aeb5e8cb9e077d48209e5ab9de0e79cc8710362
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size 343275181
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runs/events.out.tfevents.1670579630.da0d46ad4bd1
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a533adb19859495068cbc359db203e6512fb2e67eab8b46f3e5d0b310566ec32
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size 1351
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