tedst

__init__.py

@@ -1,24 +1,4 @@
+from .modeling_custom import CustomConfig, CustomModel
 from .custom_pipeline import Pipeline_One
-from transformers import PretrainedConfig
 
-class CustomConfig(PretrainedConfig):
-    model_type = "custom"
-    
-    def __init__(
-        self,
-        num_labels=3,
-        id2label=None,
-        label2id=None,
-        **kwargs
-    ):
-        if id2label is None:
-            id2label = {0: "English", 1: "German", 2: "French"}
-        if label2id is None:
-            label2id = {"English": 0, "German": 1, "French": 2}
-            
-        super().__init__(
-            num_labels=num_labels,
-            id2label=id2label,
-            label2id=label2id,
-            **kwargs
-        )
+__all__ = ["CustomConfig", "CustomModel", "Pipeline_One"]

config.json

@@ -1,9 +1,9 @@
 {
   "_name_or_path": "Maslionok/pipeline1",
   "architectures": [
-    "Pipeline_One"
+    "CustomModel"
   ],
-  "model_type": "custom",
+  "model_type": "langident",
   "num_labels": 3,
   "id2label": {
     "0": "English",
@@ -17,7 +17,7 @@
   },
   "custom_pipelines": {
     "language-detection": {
-      "impl": "Pipeline_One",
+      "impl": "custom_pipeline.Pipeline_One",
       "pt": [],
       "tf": []
     }

modeling_custom.py

@@ -0,0 +1,18 @@
+from transformers import PreTrainedModel
+from transformers.configuration_utils import PretrainedConfig
+
+class CustomConfig(PretrainedConfig):
+    model_type = "langident"  # Changed from "custom" to a specific type
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+
+class CustomModel(PreTrainedModel):
+    config_class = CustomConfig
+    
+    def __init__(self, config):
+        super().__init__(config)
+        
+    def forward(self, **kwargs):
+        # Implement your forward pass
+        pass