Upload model

config.json

@@ -1,10 +1,10 @@
 {
   "architectures": [
-    "ResnetModel"
+    "ResinModel"
   ],
   "auto_map": {
-    "AutoConfig": "configuration_resnet.ResnetConfig",
-    "AutoModel": "modeling_resnet.ResnetModel"
+    "AutoConfig": "configuration_resnet.ResinConfig",
+    "AutoModel": "modeling_resnet.ResinModel"
   },
   "avg_down": false,
   "base_width": 64,

configuration_resnet.py

@@ -2,7 +2,7 @@ from transformers import PretrainedConfig
 from typing import List
 
 
-class ResnetConfig(PretrainedConfig):
+class ResinConfig(PretrainedConfig):
     model_type = "resin"
 
     def __init__(

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6af6e14b216661883cf506e24dc3c3ac81c66d329159118467bb5f7b9f48667e
+oid sha256:532f1de9ef426ac086bb7d8d6648ded84230c3b628f034066984d1c2b08ed271
 size 416

modeling_resnet.py

@@ -1,10 +1,10 @@
 import torch
 from transformers import PreTrainedModel
-from .configuration_resnet import ResnetConfig
+from .configuration_resnet import ResinConfig
 
 
-class ResnetModel(PreTrainedModel):
-    config_class = ResnetConfig
+class ResinModel(PreTrainedModel):
+    config_class = ResinConfig
 
     def __init__(self, config):
         super().__init__(config)