bart_checklist.md

Bart Checklist (Completed):

• add model/configuration/tokenization classes
• add conversion scripts
• add tests
• finalize
• copy the python files from the present folder to the main folder and rename them, replacing xxx with your model name,
• edit the files to replace XXX (with various casing) with your model name
• copy-paste or create a simple configuration class for your model in the configuration_... file
• copy-paste or create the code for your model in the modeling_... files (PyTorch and TF 2.0) copy-paste or create a tokenizer class for your model in the tokenization_... file
• copy the python files from the tests sub-folder of the present folder to the tests subfolder of the main folder and rename them, replacing xxx with your model name,
• edit the tests files to replace XXX (with various casing) with your model name
• edit the tests code as needed
• add import for all the relevant classes in init.py
• add your configuration in configuration_auto.py
• add your tokenizer in tokenization_auto.py
• add your models and tokenizer to pipeline.py add a link to your conversion script in the main conversion utility (in commands/convert.py)
• add a mention of your model in the doc: README.md and the documentation itself at docs/source/pretrained_models.rst.
• upload the pretrained weigths, configurations and vocabulary files.
• add your PyTorch to modeling_auto.py

Bart Checklist (Incomplete):

• make TF model
• add TF 2.0 model to modeling_tf_auto.py
• edit the PyTorch to TF 2.0 conversion script to add your model in the convert_pytorch_checkpoint_to_tf2.py file