Add Flax to PyTorch model conversion script

flax_to_torch.py

@@ -0,0 +1,23 @@
+import argparse
+
+from transformers import RobertaForMaskedLM
+
+
+def convert_flax_model_to_torch(flax_model_path: str, torch_model_path: str = "./"):
+    """
+    Converts Flax model weights to PyTorch weights.
+    """
+    model = RobertaForMaskedLM.from_pretrained(flax_model_path, from_flax=True)
+    model.save_pretrained(torch_model_path)
+
+
+if __name__ == "__maim__":
+    parser = argparse.ArgumentParser(description="Flax to Pytorch model coversion")
+    parser.add_argument(
+        "--flax_model_path", type=str, default="flax-community/roberta-pretraining-hindi", help="Flax model path"
+    )
+    parser.add_argument("--torch_model_path", type=str, default="./", help="PyTorch model path")
+
+    args = parser.parse_args()
+
+    convert_flax_model_to_torch(args.flax_model_path, args.torch_model_path)