Update README.md

README.md

@@ -91,8 +91,9 @@ According ot the original [blog](https://www.yitay.net/blog/flan-ul2-20b) here a
 
 You can use the [`convert_t5x_checkpoint_to_pytorch.py`](https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/convert_t5x_checkpoint_to_pytorch.py) script and pass the argument `strict = False`. The final layer norm is missing from the original dictionnary, that is why we are passing the `stric=False` argument.
 ```bash
-python convert_t5x_checkpoint_to_pytorch.py --t5x_checkpoint_path ~/code/ul2/flan-ul220b-v3/ --config_file config.json --pytorch_dump_path ~/code/ul2/flan-ul2
+python convert_t5x_checkpoint_to_pytorch.py --t5x_checkpoint_path PATH_TO_T5X_CHECKPOINTS --config_file PATH_TO_CONFIG --pytorch_dump_path PATH_TO_SAVE
 ```
+We used the same config file as [`google/ul2`](https://huggingface.co/google/ul2/blob/main/config.json).
 
 ## Running the model