allenai `LongformerEncoderDecoderForConditionalGeneration` vs huggingface `LEDForConditionalGeneration`

I would like to be able to load a LED model into huggingface via e.g.

```led = LEDForConditionalGeneration.from_pretrained('PATH/longformer-encdec-large-16384', gradient_checkpointing=True, use_cache=False)```

However, I receive an AttributeError `Can't set attention_probs_dropout_prob with value 0.0 for LEDConfig`. This occurs with both my custom LED model that I converted via `convert_bart_to_longformerencoderdecoder.py` and with the LED model `longformer-encdec-large-16384` downloaded directly from this repo. This occurs with HuggingFace transformers==4.5.1.

How can I use the LED models with the transformers library? I realize that there is a model `"allenai/led-large-16384"` in the repo already, but I would like to be able to use my custom LED model with the transformers codebase. Thanks!