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@ -159,6 +159,13 @@ def push_to_hf_hub(
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)
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)
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with repo.commit(commit_message):
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with repo.commit(commit_message):
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# Save model weights and config
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save_pretrained_for_hf(model, repo.local_dir, **config_kwargs)
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save_pretrained_for_hf(model, repo.local_dir, **config_kwargs)
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# Save a model card if it doesn't exist, enabling inference.
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readme_path = Path(repo.local_dir) / 'README.md'
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readme_txt = f'---\ntags:\n- image-classification\n- timm\nlibrary_tag: timm\n---\n# Model card for {repo_name}'
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if not readme_path.exists():
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readme_path.write_text(readme_txt)
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return repo.git_remote_url()
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return repo.git_remote_url()
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