Add/Update backbone checkpoints (count=6)

ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

manifest_20260210_170738.json

@@ -0,0 +1,53 @@
+{
+  "timestamp": "20260210_170738",
+  "repo_id": "dsaint31/bb_mlp_224",
+  "revision": "main",
+  "tag": null,
+  "num_labels": 3,
+  "build_device": "mps",
+  "count": 6,
+  "items": [
+    {
+      "backbone": "google/vit-base-patch16-224",
+      "subdir": "models/google__vit-base-patch16-224",
+      "dirname": "google__vit-base-patch16-224"
+    },
+    {
+      "backbone": "microsoft/swin-tiny-patch4-window7-224",
+      "subdir": "models/microsoft__swin-tiny-patch4-window7-224",
+      "dirname": "microsoft__swin-tiny-patch4-window7-224"
+    },
+    {
+      "backbone": "microsoft/resnet-50",
+      "subdir": "models/microsoft__resnet-50",
+      "dirname": "microsoft__resnet-50"
+    },
+    {
+      "backbone": "google/efficientnet-b0",
+      "subdir": "models/google__efficientnet-b0",
+      "dirname": "google__efficientnet-b0"
+    },
+    {
+      "backbone": "timm/densenet121.tv_in1k",
+      "subdir": "models/timm__densenet121.tv_in1k",
+      "dirname": "timm__densenet121.tv_in1k"
+    },
+    {
+      "backbone": "torchvision/densenet121",
+      "subdir": "models/torchvision__densenet121",
+      "dirname": "torchvision__densenet121"
+    }
+  ],
+  "root_code_included": true,
+  "root_code_files": [
+    "ds_proc.py",
+    "ds_model.py",
+    "ds_cfg.py"
+  ],
+  "subfolder_code_included": true,
+  "subfolder_code_files": [
+    "ds_proc.py",
+    "ds_model.py",
+    "ds_cfg.py"
+  ]
+}

models/google__efficientnet-b0/config.json

@@ -24,7 +24,7 @@
   "num_labels": 3,
   "transformers_version": "5.1.0",
   "ds_provenance": {
-    "created_at": "20260210_163348",
+    "created_at": "20260210_170738",
     "repo_id": "dsaint31/bb_mlp_224",
     "subdir": "models/google__efficientnet-b0",
     "wrapper_class": "BackboneWithMLPHeadForImageClassification",

models/google__efficientnet-b0/ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

models/google__efficientnet-b0/ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

models/google__efficientnet-b0/ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

models/google__efficientnet-b0/model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:05324e85fb965b74d443308262fc7c776bcc001035e3d66bf63a52b0ba4ce300
+oid sha256:0069437f45965e8c4ac06831d6e34c4ba7603bf246b37eef446730ec04bf4e5d
 size 17558436

models/google__vit-base-patch16-224/config.json

@@ -24,7 +24,7 @@
   "num_labels": 3,
   "transformers_version": "5.1.0",
   "ds_provenance": {
-    "created_at": "20260210_163348",
+    "created_at": "20260210_170738",
     "repo_id": "dsaint31/bb_mlp_224",
     "subdir": "models/google__vit-base-patch16-224",
     "wrapper_class": "BackboneWithMLPHeadForImageClassification",

models/google__vit-base-patch16-224/ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

models/google__vit-base-patch16-224/ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

models/google__vit-base-patch16-224/ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

models/google__vit-base-patch16-224/model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:152041a83fb83b3877e72054e3d74e4542e1b28dba1ca7a70682b03efd68bae4
+oid sha256:911b24afbf6ed3a61687a5c67609c5a909dfd6f16d013bb1cad613aba5b3ebe4
 size 346372132

models/microsoft__resnet-50/config.json

@@ -24,7 +24,7 @@
   "num_labels": 3,
   "transformers_version": "5.1.0",
   "ds_provenance": {
-    "created_at": "20260210_163348",
+    "created_at": "20260210_170738",
     "repo_id": "dsaint31/bb_mlp_224",
     "subdir": "models/microsoft__resnet-50",
     "wrapper_class": "BackboneWithMLPHeadForImageClassification",

models/microsoft__resnet-50/ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

models/microsoft__resnet-50/ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

models/microsoft__resnet-50/ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

models/microsoft__resnet-50/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:32610cc9f181dd7de16c79732221106bf7431ae82693471b9410446efe103482
+oid sha256:4ff72671dfb9ce0dddaa0b43965385bf4185ce4210d00092b5d08ed116cecc4b
 size 96388660

models/microsoft__swin-tiny-patch4-window7-224/config.json

@@ -24,7 +24,7 @@
   "num_labels": 3,
   "transformers_version": "5.1.0",
   "ds_provenance": {
-    "created_at": "20260210_163348",
+    "created_at": "20260210_170738",
     "repo_id": "dsaint31/bb_mlp_224",
     "subdir": "models/microsoft__swin-tiny-patch4-window7-224",
     "wrapper_class": "BackboneWithMLPHeadForImageClassification",

models/microsoft__swin-tiny-patch4-window7-224/ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

models/microsoft__swin-tiny-patch4-window7-224/ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

models/microsoft__swin-tiny-patch4-window7-224/ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

models/microsoft__swin-tiny-patch4-window7-224/model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:29c4e394ff3e53d723a82b9911acfd072ca4259b7ac667e87eadee77b645ee84
+oid sha256:002362a9ce13fb5833945df3227b93f727613a2630c259525ac9eb3f1e5ecf69
 size 111128348

models/timm__densenet121.tv_in1k/config.json

@@ -24,7 +24,7 @@
   "num_labels": 3,
   "transformers_version": "5.1.0",
   "ds_provenance": {
-    "created_at": "20260210_163348",
+    "created_at": "20260210_170738",
     "repo_id": "dsaint31/bb_mlp_224",
     "subdir": "models/timm__densenet121.tv_in1k",
     "wrapper_class": "BackboneWithMLPHeadForImageClassification",

models/timm__densenet121.tv_in1k/ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

models/timm__densenet121.tv_in1k/ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

models/timm__densenet121.tv_in1k/ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

models/timm__densenet121.tv_in1k/model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:41040153bbc2066a084f36774b3ce20a45d9adf38ade5d33ae544c53d69350e6
 size 29293620

models/torchvision__densenet121/config.json

@@ -24,7 +24,7 @@
   "num_labels": 3,
   "transformers_version": "5.1.0",
   "ds_provenance": {
-    "created_at": "20260210_163348",
+    "created_at": "20260210_170738",
     "repo_id": "dsaint31/bb_mlp_224",
     "subdir": "models/torchvision__densenet121",
     "wrapper_class": "BackboneWithMLPHeadForImageClassification",

models/torchvision__densenet121/ds_cfg.py

@@ -1,6 +1,13 @@
 from transformers import PretrainedConfig
 from typing import Literal, Any
 
+__all__ = [
+    "BackboneID",
+    "BACKBONE_META",
+    "BackboneMLPHeadConfig",
+]
+
+
 # ============================================================
 # Backbone whitelist + meta registry
 # ============================================================

models/torchvision__densenet121/ds_model.py

@@ -17,7 +17,10 @@ from transformers.modeling_outputs import ImageClassifierOutput
 # --- torchvision ---
 from torchvision import models as tv_models
 
-from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+try:
+    from .ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
+except ImportError:
+    from ds_cfg import BackboneMLPHeadConfig, BACKBONE_META
 # from mlp_head import MLPHead
 
 class MLPHead(nn.Module):

models/torchvision__densenet121/ds_proc.py

@@ -16,7 +16,12 @@ from transformers import AutoImageProcessor, AutoConfig
 from transformers.image_processing_base import ImageProcessingMixin
 from transformers.utils.generic import TensorType
 
-from ds_cfg import BackboneID, BACKBONE_META
+try:
+    # Hub/Colab: dynamic module 로딩에서는 상대 import가 정상
+    from .ds_cfg import BackboneID, BACKBONE_META
+except ImportError:
+    # 로컬: python script.py 또는 top-level import에서는 절대 import로 fallback
+    from ds_cfg import BackboneID, BACKBONE_META
 
 
 class BackboneMLPHead224ImageProcessor(ImageProcessingMixin):

models/torchvision__densenet121/model.safetensors

@@ -1,3 +1,3 @@
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