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RepConTUR

Image Segmentation
Transformers
PyTorch
repcontur
feature-extraction
medical
radiology
ct
3d
tumor-segmentation
referring-segmentation
report-generation
visual-question-answering
custom_code
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RepConTUR
File size: 2,822 Bytes
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{
  "architectures": [
    "RepConTURModel"
  ],
  "auto_map": {
    "AutoConfig": "configuration_repcontur.RepConTURConfig",
    "AutoModel": "modeling_repcontur.RepConTURModel"
  },
  "ct_encoder": {
    "codebook_size": 8192,
    "dim": 512,
    "dim_head": 32,
    "encoder_type": "ctvit",
    "heads": 8,
    "image_size": 240,
    "patch_size": 20,
    "spatial_depth": 4,
    "temporal_depth": 4,
    "temporal_patch_size": 10
  },
  "ct_pooler": {
    "mlp_depth": 2,
    "n_heads": 8,
    "n_queries": 256
  },
  "decoder_layer": 4,
  "dtype": "bfloat16",
  "generation_kwargs": {},
  "img_context_token_id": 151667,
  "internvl_model_path": "OpenGVLab/InternVL2_5-1B",
  "llm_hidden_size": 896,
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  "num_maskformer_stages": 5,
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  "seg_token_idx": 151674,
  "special_tokens": [
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    "<vp>",
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  ],
  "template": {
    "INSTRUCTION": "<|user|>\n{input}<|end|>\n<|assistant|>\n",
    "SEP": "\n",
    "STOP_WORDS": [
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    ],
    "SUFFIX": "<|end|>",
    "SUFFIX_AS_EOS": true,
    "SYSTEM": "<|system|>\n{system}<|end|>\n"
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  "text_embedding_dim": 2560,
  "transformers_version": "4.57.1",
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  "voxtell_arch_kwargs": {
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    "nonlin": "torch.nn.LeakyReLU",
    "nonlin_kwargs": {
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    },
    "norm_op": "torch.nn.modules.instancenorm.InstanceNorm3d",
    "norm_op_kwargs": {
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      "eps": 1e-05
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}