EC2 Default User
commited on
Commit
•
4294e62
0
Parent(s):
Add model weights and configs
Browse files- .gitattributes +1 -0
- config.json +56 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- preprocessor_config.json +28 -0
- quantize_config.json +35 -0
.gitattributes
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*.onnx filter=lfs diff=lfs merge=lfs -text
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config.json
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{
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"_name_or_path": "dit-base-patient-chart",
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"architectures": [
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"BeitForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"auxiliary_channels": 256,
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"auxiliary_concat_input": false,
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"auxiliary_loss_weight": 0.4,
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"auxiliary_num_convs": 1,
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"drop_path_rate": 0.1,
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"finetuning_task": "image-classification",
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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": "patient",
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"1": "worklist"
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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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"patient": "0",
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"worklist": "1"
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},
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 0.1,
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"model_type": "beit",
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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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"out_indices": [
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3,
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5,
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7,
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11
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],
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"patch_size": 16,
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"pool_scales": [
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1,
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2,
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3,
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6
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],
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"transformers_version": "4.33.2",
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"use_absolute_position_embeddings": true,
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"use_auxiliary_head": true,
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"use_mask_token": true,
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"use_mean_pooling": true,
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"use_relative_position_bias": false,
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"use_shared_relative_position_bias": false,
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"vocab_size": 8192
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b049556636f6299c89a499294417b9aecd33e051d3a178e95023d935146e553
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size 343506465
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb9dabcaa9754e890da22f747340b10ff3f6a06f631330b247ebe64f1632af80
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size 87112360
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preprocessor_config.json
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{
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"crop_size": {
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"height": 224,
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"width": 224
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},
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"do_center_crop": false,
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"do_normalize": true,
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"do_reduce_labels": false,
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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": "BeitFeatureExtractor",
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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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quantize_config.json
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{
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"per_channel": false,
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"reduce_range": true,
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"per_model_config": {
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"model": {
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"op_types": [
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"Sub",
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"Erf",
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"Expand",
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"Where",
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"Mul",
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"ReduceMean",
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"Concat",
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"Shape",
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"Conv",
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"Div",
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"Constant",
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"Reshape",
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"Add",
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"Transpose",
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"Gather",
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"Unsqueeze",
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"Pow",
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"Slice",
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"Equal",
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"ConstantOfShape",
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"Softmax",
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"Sqrt",
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"Gemm",
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"MatMul"
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],
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"weight_type": "QUInt8"
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}
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}
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}
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