Upload 5 files
Browse files- config.json +35 -0
- configuration_fake_custom.py +5 -0
- model.safetensors +3 -0
- modeling_fake_custom.py +5 -0
- preprocessor_config.json +35 -0
config.json
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{
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"_name_or_path": "./",
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"architectures": [
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"FakeCustomModel"
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],
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"auto_map": {
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"AutoConfig": "configuration_fake_custom.FakeCustomConfig",
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"AutoModel": "modeling_fake_custom.FakeCustomModel",
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"AutoModelForMaskGeneration": "modeling_fake_custom.FakeCustomModel"
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},
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"initializer_range": 0.02,
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"mask_decoder_config": {
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"model_type": ""
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},
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"model_type": "fakecustom",
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"prompt_encoder_config": {
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"model_type": ""
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},
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"torch_dtype": "float32",
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"transformers_version": "4.45.0.dev0",
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"vision_config": {
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"dropout": 0.0,
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"global_attn_indexes": [
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0
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],
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"hidden_size": 32,
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"initializer_factor": 1.0,
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"intermediate_size": 128,
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"mlp_dim": 64,
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"model_type": "",
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"num_attention_heads": 4,
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"num_hidden_layers": 2,
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"projection_dim": 32
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}
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}
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configuration_fake_custom.py
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from transformers import SamConfig
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class FakeCustomConfig(SamConfig):
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model_type = "fakecustom"
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d81d37a065d8ef6416633b7c48c72c81ab2d635190a0c10be39527e80d2b1cc5
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size 19377232
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modeling_fake_custom.py
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from transformers import SamModel
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from .configuration_fake_custom import FakeCustomConfig
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class FakeCustomModel(SamModel):
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config_class = FakeCustomConfig
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preprocessor_config.json
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "SamImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"mask_pad_size": {
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"height": 256,
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"width": 256
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},
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"mask_size": {
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"longest_edge": 256
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},
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"pad_size": {
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"height": 1024,
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"width": 1024
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},
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"processor_class": "SamProcessor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"longest_edge": 1024
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}
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}
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