Fix Funnel Transformer conversion script (#9683)

src/transformers/models/funnel/convert_funnel_original_tf_checkpoint_to_pytorch.py

@@ -19,18 +19,18 @@ import argparse
 
 import torch
 
-from transformers import FunnelConfig, FunnelForPreTraining, load_tf_weights_in_funnel
+from transformers import FunnelBaseModel, FunnelConfig, FunnelModel, load_tf_weights_in_funnel
 from transformers.utils import logging
 
 
 logging.set_verbosity_info()
 
 
-def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, config_file, pytorch_dump_path):
+def convert_tf_checkpoint_to_pytorch(tf_checkpoint_path, config_file, pytorch_dump_path, base_model):
     # Initialise PyTorch model
     config = FunnelConfig.from_json_file(config_file)
     print("Building PyTorch model from configuration: {}".format(str(config)))
-    model = FunnelForPreTraining(config)
+    model = FunnelBaseModel(config) if base_model else FunnelModel(config)
 
     # Load weights from tf checkpoint
     load_tf_weights_in_funnel(model, config, tf_checkpoint_path)
@@ -57,5 +57,10 @@ if __name__ == "__main__":
     parser.add_argument(
         "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
     )
+    parser.add_argument(
+        "--base_model", action="store_true", help="Whether you want just the base model (no decoder) or not."
+    )
     args = parser.parse_args()
-    convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)
+    convert_tf_checkpoint_to_pytorch(
+        args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path, args.base_model
+    )