style

onnx_export.py

@@ -116,14 +116,11 @@ def convert(api: "HfApi", model_id: str, task: str, force: bool = False) -> Tupl
                 operations = convert_onnx(model_id, task, folder)
 
                 commit_description = f"""
-                Beep boop I am the [ONNX export bot 🤖🏎️]({SPACES_URL}). On behalf of [{requesting_user}](https://huggingface.co/{requesting_user}), I would like to
-                add to this repository the model converted to ONNX.
+Beep boop I am the [ONNX export bot 🤖🏎️]({SPACES_URL}). On behalf of [{requesting_user}](https://huggingface.co/{requesting_user}), I would like to add to this repository the model converted to ONNX.
 
-                What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability.
-                You can find out more at [onnx.ai](https://onnx.ai/)!
+What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at [onnx.ai](https://onnx.ai/)!
 
-                The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines
-                with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!
+The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!
                 """
                 new_pr = api.create_commit(
                     repo_id=model_id,