dev(narugo): code save, ci skip

            assert tags_data.shape == (1, _get_model_tags_length(model_name))

            assert embeddings.shape == (1, emb_width)

            if hf_fs.exists(f'datasets/deepghs/wd14_tagger_inversion/{model_name}/samples_200.npz'):

                _make_inverse(

                    model_name=model_name,

                    dst_dir=os.path.join(td, MODEL_NAMES[model_name]),

                    onnx_model_file=onnx_file,

                    scale=2000,

                )

                invertible = True

            else:

                invertible = False

            records.append({

                'Name': model_name,

                'Source Repository': f'[{MODEL_NAMES[model_name]}](https://huggingface.co/{MODEL_NAMES[model_name]})',

                'Tags Count': _get_model_tags_length(model_name),

                'Embedding Width': emb_width,

                'Inverse Supported': 'Yes' if invertible else 'No',

            })

            _get_model_file.cache_clear()

            _get_model_tags_length.cache_clear()

            if hf_fs.exists(f'datasets/deepghs/wd14_tagger_inversion/{model_name}/samples_200.npz'):

                _make_inverse(

                    model_name=model_name,

                    dst_dir=os.path.join(td, MODEL_NAMES[model_name]),

                    onnx_model_file=onnx_file,

                    scale=2000,

                )

        df_records = pd.DataFrame(records)

        with open(os.path.join(td, 'README.md'), 'w') as f:

            print('---', file=f)