feature: infer framework and version for huggingface class

Author: rahven14

src/sagemaker/huggingface/model.py

@@ -85,6 +85,13 @@ def _validate_pt_tf_versions(pytorch_version, tensorflow_version, image_uri):
         )
 
 
+def fetch_framework_and_framework_version(tensorflow_version, pytorch_version):
+    if tensorflow_version is not None:  # pylint: disable=no-member
+        return ("tensorflow", tensorflow_version)  # pylint: disable=no-member
+    else:
+        return ("pytorch", pytorch_version)  # pylint: disable=no-member
+        
+
 class HuggingFaceModel(FrameworkModel):
     """A Hugging Face SageMaker ``Model`` that can be deployed to a SageMaker ``Endpoint``."""
 
@@ -289,6 +296,7 @@ def deploy(
             serverless_inference_config,
         )
 
+
     def register(
         self,
         content_types,
@@ -387,8 +395,8 @@ def register(
             domain=domain,
             sample_payload_url=sample_payload_url,
             task=task,
-            framework=framework,
-            framework_version=framework_version,
+            framework=framework or fetch_framework_and_framework_version()[0],
+            framework_version=framework_version or fetch_framework_and_framework_version()[1],
             nearest_model_name=nearest_model_name,
             data_input_configuration=data_input_configuration,
         )