Now using dill file

example-dummy-evaluation.pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:db681019f6fde303497efa1d273f12002c2ae41ce973615e81b3f1d246a368e7
-size 1912

train.py

@@ -1,4 +1,4 @@
-import pickle
+import dill
 from transformers import PreTrainedModel, PretrainedConfig
 
 class CountAModel(PreTrainedModel):
@@ -23,9 +23,9 @@ sentence = "This is a sample sentence with a few 'a's."
 count_a = model(sentence)
 print(f"The sentence contains {count_a} letter(s) 'a'.")
 
-
 # Save the model in the current directory
 model.save_pretrained(".")
-with open('example-dummy-evaluation.pkl', 'wb') as f:
-    pickle.dump(model, f)
+with open('example-dummy-evaluation.dill', 'wb') as f:
+    dill.dump(model, f)
+    dill.dump(CountAModel, f)
 print("Model saved successfully.")