AliGhiasvand86 commited on
Commit
d00a7f6
1 Parent(s): eb05afb

commit files to HF hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ images/1.jpg filter=lfs diff=lfs merge=lfs -text
37
+ images/2.jpg filter=lfs diff=lfs merge=lfs -text
38
+ images/3.jpg filter=lfs diff=lfs merge=lfs -text
39
+ images/4.jpg filter=lfs diff=lfs merge=lfs -text
40
+ images/5.jpg filter=lfs diff=lfs merge=lfs -text
41
+ images/6.jpg filter=lfs diff=lfs merge=lfs -text
42
+ images/7.jpg filter=lfs diff=lfs merge=lfs -text
43
+ images/8.jpg filter=lfs diff=lfs merge=lfs -text
44
+ images/9.jpg filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - image-classification
4
+ - pytorch
5
+ - huggingpics
6
+ metrics:
7
+ - accuracy
8
+
9
+ model-index:
10
+ - name: digit_recognition
11
+ results:
12
+ - task:
13
+ name: Image Classification
14
+ type: image-classification
15
+ metrics:
16
+ - name: Accuracy
17
+ type: accuracy
18
+ value: 0.10891088843345642
19
+ ---
20
+
21
+ # digit_recognition
22
+
23
+
24
+ Autogenerated by HuggingPics🤗🖼️
25
+
26
+ 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).
27
+
28
+ Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
29
+
30
+
31
+ ## Example Images
32
+
33
+
34
+ #### 1
35
+
36
+ ![1](images/1.jpg)
37
+
38
+ #### 2
39
+
40
+ ![2](images/2.jpg)
41
+
42
+ #### 3
43
+
44
+ ![3](images/3.jpg)
45
+
46
+ #### 4
47
+
48
+ ![4](images/4.jpg)
49
+
50
+ #### 5
51
+
52
+ ![5](images/5.jpg)
53
+
54
+ #### 6
55
+
56
+ ![6](images/6.jpg)
57
+
58
+ #### 7
59
+
60
+ ![7](images/7.jpg)
61
+
62
+ #### 8
63
+
64
+ ![8](images/8.jpg)
65
+
66
+ #### 9
67
+
68
+ ![9](images/9.jpg)
config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/vit-base-patch16-224-in21k",
3
+ "architectures": [
4
+ "ViTForImageClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.0,
10
+ "hidden_size": 768,
11
+ "id2label": {
12
+ "0": "1",
13
+ "1": "2",
14
+ "2": "3",
15
+ "3": "4",
16
+ "4": "5",
17
+ "5": "6",
18
+ "6": "7",
19
+ "7": "8",
20
+ "8": "9"
21
+ },
22
+ "image_size": 224,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 3072,
25
+ "label2id": {
26
+ "1": "0",
27
+ "2": "1",
28
+ "3": "2",
29
+ "4": "3",
30
+ "5": "4",
31
+ "6": "5",
32
+ "7": "6",
33
+ "8": "7",
34
+ "9": "8"
35
+ },
36
+ "layer_norm_eps": 1e-12,
37
+ "model_type": "vit",
38
+ "num_attention_heads": 12,
39
+ "num_channels": 3,
40
+ "num_hidden_layers": 12,
41
+ "patch_size": 16,
42
+ "problem_type": "single_label_classification",
43
+ "qkv_bias": true,
44
+ "torch_dtype": "float32",
45
+ "transformers_version": "4.31.0"
46
+ }
images/1.jpg ADDED

Git LFS Details

  • SHA256: f9bb3fa59fc17dfab597c3edfb04080c8e7a94f35fa3b00d1926d7ba00be865e
  • Pointer size: 130 Bytes
  • Size of remote file: 10.1 kB
images/2.jpg ADDED

Git LFS Details

  • SHA256: 65773657a2a0db91c2ee06e36b805b74339d03f3bb33452158d123955a3390c3
  • Pointer size: 130 Bytes
  • Size of remote file: 32.2 kB
images/3.jpg ADDED

Git LFS Details

  • SHA256: af2752321f904f046cb4765307dd3ad1b5227d68e080f0f8a612f40acd9f7f1c
  • Pointer size: 130 Bytes
  • Size of remote file: 12.6 kB
images/4.jpg ADDED

Git LFS Details

  • SHA256: ce69e9b0c4ce8f44d144c51b4dc746d07eb3972fec13bebb8d3a6f49250bb288
  • Pointer size: 130 Bytes
  • Size of remote file: 11.4 kB
images/5.jpg ADDED

Git LFS Details

  • SHA256: 24fd508850deb19bd50977343493861010f7df1a034f665e1c78cc8f42745d00
  • Pointer size: 130 Bytes
  • Size of remote file: 13.1 kB
images/6.jpg ADDED

Git LFS Details

  • SHA256: f158b49ea65d36c38317a771ab779e6749bdf8115ac783d40aa0e6877f96662b
  • Pointer size: 130 Bytes
  • Size of remote file: 56.9 kB
images/7.jpg ADDED

Git LFS Details

  • SHA256: 56436f12709d0e79a834daaad2c59aa1c4e228001291914e59937b0dad97cd4a
  • Pointer size: 130 Bytes
  • Size of remote file: 13.7 kB
images/8.jpg ADDED

Git LFS Details

  • SHA256: 5b5b713739a01f13cf22538eb54f09cc07fcb71f8eca8bc223221f95eb7bc55e
  • Pointer size: 130 Bytes
  • Size of remote file: 18.7 kB
images/9.jpg ADDED

Git LFS Details

  • SHA256: cf7dc49299eff821d3caa510cbd4ac58c852ba090e043643bbc505a61af8c59e
  • Pointer size: 129 Bytes
  • Size of remote file: 4.96 kB
preprocessor_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "do_rescale": true,
4
+ "do_resize": true,
5
+ "image_mean": [
6
+ 0.5,
7
+ 0.5,
8
+ 0.5
9
+ ],
10
+ "image_processor_type": "ViTFeatureExtractor",
11
+ "image_std": [
12
+ 0.5,
13
+ 0.5,
14
+ 0.5
15
+ ],
16
+ "resample": 2,
17
+ "rescale_factor": 0.00392156862745098,
18
+ "size": {
19
+ "height": 224,
20
+ "width": 224
21
+ }
22
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:846878bcd368fa6039354e038fb4426bb92a30f3464fd0907ee99fcc7f2f85dc
3
+ size 343287469
runs/events.out.tfevents.1690714145.e0cfb10a83dd.513.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9525ec4a06c98b57ffa3f3adcd40812a8dc924e23cf13f2adbe2802859c0726a
3
+ size 1960