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howdyaendra
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microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm

Image Classification
Transformers
ONNX
Safetensors
swinv2
Generated from Trainer
Inference Endpoints
Model card Files Community
Ændra Rininsland commited on
Commit
a7cdd70
•
1 Parent(s): e921fc8

Onnx

Browse files
Files changed (4) hide show
  1. config.json +88 -89
  2. onnx/model.onnx +3 -0
  3. onnx/model_quantized.onnx +3 -0
  4. quantize_config.json +48 -0
config.json CHANGED
@@ -1,89 +1,88 @@
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- {
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- "_name_or_path": "microsoft/swinv2-small-patch4-window16-256",
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- "architectures": [
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- "Swinv2ForImageClassification"
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- ],
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- "attention_probs_dropout_prob": 0.0,
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- "depths": [
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- 2,
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- 2,
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- 18,
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- 2
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- ],
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- "drop_path_rate": 0.1,
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- "embed_dim": 96,
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- "encoder_stride": 32,
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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": "altright",
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- "1": "bluesky",
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- "2": "discord",
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- "3": "facebook",
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- "4": "fediverse",
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- "5": "instagram",
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- "6": "negative",
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- "7": "news",
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- "8": "ngl",
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- "9": "reddit",
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- "10": "threads",
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- "11": "tumblr",
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- "12": "twitter"
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- },
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- "image_size": 256,
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- "initializer_range": 0.02,
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- "label2id": {
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- "altright": 0,
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- "bluesky": 1,
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- "discord": 2,
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- "facebook": 3,
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- "fediverse": 4,
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- "instagram": 5,
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- "negative": 6,
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- "news": 7,
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- "ngl": 8,
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- "reddit": 9,
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- "threads": 10,
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- "tumblr": 11,
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- "twitter": 12
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- },
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- "layer_norm_eps": 1e-05,
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- "mlp_ratio": 4.0,
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- "model_type": "swinv2",
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- "num_channels": 3,
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- "num_heads": [
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- 3,
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- 6,
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- 12,
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- 24
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- ],
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- "num_layers": 4,
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- "out_features": [
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- "stage4"
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- ],
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- "out_indices": [
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- 4
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- ],
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- "patch_size": 4,
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- "path_norm": true,
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- "pretrained_window_sizes": [
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- 0,
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- 0,
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- 0,
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- 0
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- ],
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- "problem_type": "multi_label_classification",
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- "qkv_bias": true,
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- "stage_names": [
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- "stem",
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- "stage1",
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- "stage2",
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- "stage3",
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- "stage4"
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- ],
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- "torch_dtype": "float32",
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- "transformers_version": "4.44.1",
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- "use_absolute_embeddings": false,
88
- "window_size": 16
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- }
 
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+ {
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+ "_name_or_path": "howdyaendra/microsoft-swinv2-small-patch4-window16-256-finetuned-xblockm",
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+ "architectures": [
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+ "Swinv2ForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "depths": [
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+ 2,
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+ 2,
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+ 18,
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+ 2
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+ ],
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+ "drop_path_rate": 0.1,
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+ "embed_dim": 96,
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+ "encoder_stride": 32,
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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": "altright",
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+ "1": "bluesky",
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+ "2": "discord",
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+ "3": "facebook",
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+ "4": "fediverse",
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+ "5": "instagram",
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+ "6": "negative",
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+ "7": "news",
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+ "8": "ngl",
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+ "9": "reddit",
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+ "10": "threads",
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+ "11": "tumblr",
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+ "12": "twitter"
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+ },
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+ "image_size": 256,
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "altright": 0,
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+ "bluesky": 1,
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+ "discord": 2,
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+ "facebook": 3,
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+ "fediverse": 4,
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+ "instagram": 5,
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+ "negative": 6,
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+ "twitter": 12
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "mlp_ratio": 4.0,
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+ "model_type": "swinv2",
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+ "num_channels": 3,
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+ "num_heads": [
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+ 3,
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+ 6,
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+ 12,
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+ 24
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+ "num_layers": 4,
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+ "out_features": [
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+ "stage4"
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+ "out_indices": [
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+ 4
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+ "patch_size": 4,
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+ "path_norm": true,
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+ "pretrained_window_sizes": [
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+ 0
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+ ],
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+ "problem_type": "multi_label_classification",
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+ "qkv_bias": true,
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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+ "stage2",
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+ "stage3",
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+ "stage4"
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+ ],
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+ "transformers_version": "4.33.2",
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+ "use_absolute_embeddings": false,
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+ "window_size": 16
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+ }
 
onnx/model.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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onnx/model_quantized.onnx ADDED
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quantize_config.json ADDED
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+ {
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+ "per_channel": true,
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+ "Div",
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+ "Shape",
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+ "Add",
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+ "Pad",
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+ "Erf",
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+ "weight_type": "QUInt8"
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+ }