System Info

• modalities version: main branch, 7cd60e2
• system: linux
• python version: 3.10.13

🐛 Describe the bug

The conversion of the checkpoint from the getting started example to HF fails.

Error Message:

AttributeError: 'HFModelAdapterConfig' object has no attribute 'config'

Steps to reproduce the error:

1. Run the getting started example:

   cd tutorials/getting_started
   bash run_getting_started_example.sh 0 1
   

2. Create a config file example_config_convert.yaml for checkpoint conversion:

   • copy example config

   cp example_config.yaml example_config_convert.yaml
   

   • change settings.cuda_env in example_config_convert.yaml to:

   cuda_env:
     local_rank: 0
     global_rank: 0
     world_size: 1
   

   • append the following top level component to example_config_convert.yaml:

   checkpointed_model:
     component_key: model
     variant_key: checkpointed
     config:
       checkpoint_loading:                                       
         component_key: checkpoint_loading
         variant_key: torch
         config:
           device: 0
           precision: BF16
       model:
         instance_key: model
         pass_type: BY_REFERENCE
       checkpoint_path: checkpoints/<path_to_checkpoint>.bin   # needs to be adjusted to checkpoint created in step 1.
   

3. Run checkpoint conversion:

   CUDA_VISIBLE_DEVICES=0 modalities convert_pytorch_to_hf_checkpoint --config_file_path example_config_convert.yaml --output_hf_checkpoint_dir checkpoint.hf --prediction_key logits