hello, I am trying to run your distillation code with T5. As a POC I am just trying to distill from t5-small to t5-small before I can do actual work. I have a script which looks like the following–
--teacher t5-small --data_dir $CNN_DIR \
--student_decoder_layers 6 --student_encoder_layers 6 \
--learning_rate=3e-4 \
--do_train \
--do_predict \
--fp16 \
--model_name_or_path t5-small \
--val_check_interval 0.1 \
--output_dir distilt5 \
"$@"```

and get the following error-
```Traceback (most recent call last):
  File "/home/sumithrab/transformers/src/transformers/configuration_utils.py", line 349, in get_config_dict
    resolved_config_file = cached_path(
  File "/home/sumithrab/transformers/src/transformers/file_utils.py", line 832, in cached_path
    raise EnvironmentError("file {} not found".format(url_or_filename))
OSError: file t5-small/config.json not found

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "distillation.py", line 297, in <module>
    distill_main(args)
  File "distillation.py", line 287, in distill_main
    model = create_module(args)
  File "distillation.py", line 254, in create_module
    model = module_cls(args)
  File "distillation.py", line 42, in __init__
    teacher = AutoModelForSeq2SeqLM.from_pretrained(hparams.teacher).eval()
  File "/home/sumithrab/transformers/src/transformers/modeling_auto.py", line 1094, in from_pretrained
    config, kwargs = AutoConfig.from_pretrained(
  File "/home/sumithrab/transformers/src/transformers/configuration_auto.py", line 318, in from_pretrained
    config_dict, _ = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
  File "/home/sumithrab/transformers/src/transformers/configuration_utils.py", line 368, in get_config_dict
    raise EnvironmentError(msg)
OSError: Can't load config for 't5-small'. Make sure that:

- 't5-small' is a correct model identifier listed on 'https://huggingface.co/models'

- or 't5-small' is the correct path to a directory containing a config.json file

Any clue as to what I am missing?
Am  I supposed to first download the (pretrained) t5-small model locally and if so from where and to what path, and how do I specify the model in this script?