allow to not provide inference script with HuggingFace model deployment

Author: Wang Napieralski

src/sagemaker/huggingface/model.py

@@ -92,7 +92,7 @@ def __init__(
         self,
         model_data,
         role,
-        entry_point,
+        entry_point=None,
         transformers_version=None,
         tensorflow_version=None,
         pytorch_version=None,
@@ -116,6 +116,7 @@ def __init__(
                 file which should be executed as the entry point to model
                 hosting. If ``source_dir`` is specified, then ``entry_point``
                 must point to a file located at the root of ``source_dir``.
+                Defaults to None.
             transformers_version (str): transformers version you want to use for
                 executing your model training code. Defaults to None. Required
                 unless ``image_uri`` is provided.

src/sagemaker/model.py

@@ -1111,7 +1111,7 @@ def prepare_container_def(self, instance_type=None, accelerator_type=None):
     def _upload_code(self, key_prefix, repack=False):
         """Placeholder Docstring"""
         local_code = utils.get_config_value("local.local_code", self.sagemaker_session.config)
-        if self.sagemaker_session.local_mode and local_code:
+        if (self.sagemaker_session.local_mode and local_code) or self.entry_point is None:
             self.uploaded_code = None
         elif not repack:
             bucket = self.bucket or self.sagemaker_session.default_bucket()