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ahmed-ai
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mit-b1-skin-lesion-classifier

Image Classification
Transformers
TensorFlow
segformer
generated_from_keras_callback
Inference Endpoints
Model card Files Community
mit-b1-skin-lesion-classifier
File size: 1,830 Bytes 
4583786
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "nvidia/mit-b1",
  "architectures": [
    "SegformerForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 256,
  "depths": [
    2,
    2,
    2,
    2
  ],
  "downsampling_rates": [
    1,
    4,
    8,
    16
  ],
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_sizes": [
    64,
    128,
    320,
    512
  ],
  "id2label": {
    "0": "Actinic keratoses",
    "1": "Basal cell carcinoma",
    "10": "Melanoma",
    "11": "Monkeypox",
    "12": "Squamous cell carcinoma",
    "13": "Vascular lesions",
    "14": "dermatofibroma",
    "2": "Benign keratosis-like lesions",
    "3": "Chickenpox",
    "4": "Cowpox",
    "5": "Dermatofibroma",
    "6": "HFMD",
    "7": "Healthy",
    "8": "Measles",
    "9": "Melanocytic nevi"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Actinic keratoses": "0",
    "Basal cell carcinoma": "1",
    "Benign keratosis-like lesions": "2",
    "Chickenpox": "3",
    "Cowpox": "4",
    "Dermatofibroma": "5",
    "HFMD": "6",
    "Healthy": "7",
    "Measles": "8",
    "Melanocytic nevi": "9",
    "Melanoma": "10",
    "Monkeypox": "11",
    "Squamous cell carcinoma": "12",
    "Vascular lesions": "13",
    "dermatofibroma": "14"
  },
  "layer_norm_eps": 1e-06,
  "mlp_ratios": [
    4,
    4,
    4,
    4
  ],
  "model_type": "segformer",
  "num_attention_heads": [
    1,
    2,
    5,
    8
  ],
  "num_channels": 3,
  "num_encoder_blocks": 4,
  "patch_sizes": [
    7,
    3,
    3,
    3
  ],
  "reshape_last_stage": true,
  "semantic_loss_ignore_index": 255,
  "sr_ratios": [
    8,
    4,
    2,
    1
  ],
  "strides": [
    4,
    2,
    2,
    2
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.36.2"
}