Upload folder using huggingface_hub

upload_to_huggingface.py

@@ -1,4 +1,4 @@
-from huggingface_hub import login, create_repo, upload_large_folder
+from huggingface_hub import login, create_repo, upload_folder
 import os
 
 # Login with the token
@@ -6,10 +6,10 @@ token = os.getenv("HF_TOKEN")
 login(token=token)
 
 # Create the repo (if it doesn't exist)
-repo_id = "NeuralNap/spam-classifier"
+repo_id = "ModelForge/spam-classifier"
 create_repo(repo_id, private=False, exist_ok=True)
 
-upload_large_folder(
+upload_folder(
     repo_id=repo_id,
     folder_path=".",  
     repo_type="model"