Use latest version of model_prediction_with_container component.

assets/training/finetune_acft_hf_nlp/components/finetune/chat_completion/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: chat_completion_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/finetune/question_answering/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: question_answering_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/finetune/summarization/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: summarization_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/finetune/text_classification/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_classification_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: false

assets/training/finetune_acft_hf_nlp/components/finetune/text_generation/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_generation_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/finetune/token_classification/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: token_classification_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: false

assets/training/finetune_acft_hf_nlp/components/finetune/translation/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: translation_finetune
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_converter/common/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: ft_nlp_model_converter
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/chat_completion/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: chat_completion_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/question_answering/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: question_answering_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/summarization/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: summarization_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/text_classification/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_classification_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/text_generation/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: text_generation_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/token_classification/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: token_classification_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/model_import/translation/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
 name: translation_model_import
-version: 0.0.71
+version: 0.0.72
 type: command
 
 is_deterministic: true

assets/training/finetune_acft_hf_nlp/components/pipeline_components/chat_completion/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: chat_completion_pipeline
-version: 0.0.72
+version: 0.0.73
 type: pipeline
 display_name: Chat Completion Pipeline
 description: Pipeline Component to finetune Hugging Face pretrained models for chat completion task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/chat_completion_pipeline) to learn more.
@@ -482,7 +482,7 @@ outputs:
 jobs:
   ft_nlp_common_validation:
     type: command
-    component: azureml:ft_nlp_common_validation:0.0.71
+    component: azureml:ft_nlp_common_validation:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -519,7 +519,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   chat_completion_model_import:
     type: command
-    component: azureml:chat_completion_model_import:0.0.71
+    component: azureml:chat_completion_model_import:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -530,7 +530,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   chat_completion_datapreprocess:
     type: command
-    component: azureml:chat_completion_datapreprocess:0.0.71
+    component: azureml:chat_completion_datapreprocess:0.0.72
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -547,7 +547,7 @@ jobs:
       model_selector_output: '${{parent.jobs.chat_completion_model_import.outputs.output_dir}}'
   chat_completion_finetune:
     type: command
-    component: azureml:chat_completion_finetune:0.0.71
+    component: azureml:chat_completion_finetune:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch
@@ -605,7 +605,7 @@ jobs:
       # mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
   ft_nlp_model_converter:
     type: command
-    component: azureml:ft_nlp_model_converter:0.0.71
+    component: azureml:ft_nlp_model_converter:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_finetune}}'
@@ -616,7 +616,7 @@ jobs:
       mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
   model_prediction:
     type: command
-    component: azureml:model_prediction_with_container:0.0.6
+    component: azureml:model_prediction_with_container:0.0.7
     compute: '${{parent.inputs.compute_model_evaluation}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_evaluation}}'

assets/training/finetune_acft_hf_nlp/components/pipeline_components/question_answering/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: question_answering_pipeline
-version: 0.0.72
+version: 0.0.73
 type: pipeline
 display_name: Question Answering Pipeline
 description: Pipeline Component to finetune Hugging Face pretrained models for extractive question answering task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/question_answering_pipeline) to learn more.
@@ -528,7 +528,7 @@ outputs:
 jobs:
   ft_nlp_common_validation:
     type: command
-    component: azureml:ft_nlp_common_validation:0.0.71
+    component: azureml:ft_nlp_common_validation:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -565,7 +565,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   question_answering_model_import:
     type: command
-    component: azureml:question_answering_model_import:0.0.71
+    component: azureml:question_answering_model_import:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -576,7 +576,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   question_answering_datapreprocess:
     type: command
-    component: azureml:question_answering_datapreprocess:0.0.71
+    component: azureml:question_answering_datapreprocess:0.0.72
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -601,7 +601,7 @@ jobs:
       model_selector_output: '${{parent.jobs.question_answering_model_import.outputs.output_dir}}'
   question_answering_finetune:
     type: command
-    component: azureml:question_answering_finetune:0.0.71
+    component: azureml:question_answering_finetune:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch
@@ -658,7 +658,7 @@ jobs:
       pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
   ft_nlp_model_converter:
     type: command
-    component: azureml:ft_nlp_model_converter:0.0.71
+    component: azureml:ft_nlp_model_converter:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_finetune}}'
@@ -668,7 +668,7 @@ jobs:
       mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
   model_prediction:
     type: command
-    component: azureml:model_prediction_with_container:0.0.6
+    component: azureml:model_prediction_with_container:0.0.7
     compute: '${{parent.inputs.compute_model_evaluation}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_evaluation}}'

assets/training/finetune_acft_hf_nlp/components/pipeline_components/summarization/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: summarization_pipeline
-version: 0.0.72
+version: 0.0.73
 type: pipeline
 display_name: Summarization Pipeline
 description: Pipeline Component to finetune Hugging Face pretrained models for summarization task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/summarization_pipeline) to learn more.
@@ -499,7 +499,7 @@ outputs:
 jobs:
   ft_nlp_common_validation:
     type: command
-    component: azureml:ft_nlp_common_validation:0.0.71
+    component: azureml:ft_nlp_common_validation:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -536,7 +536,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   summarization_model_import:
     type: command
-    component: azureml:summarization_model_import:0.0.71
+    component: azureml:summarization_model_import:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -547,7 +547,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   summarization_datapreprocess:
     type: command
-    component: azureml:summarization_datapreprocess:0.0.71
+    component: azureml:summarization_datapreprocess:0.0.72
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -567,7 +567,7 @@ jobs:
       model_selector_output: '${{parent.jobs.summarization_model_import.outputs.output_dir}}'
   summarization_finetune:
     type: command
-    component: azureml:summarization_finetune:0.0.71
+    component: azureml:summarization_finetune:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch
@@ -624,7 +624,7 @@ jobs:
       pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
   ft_nlp_model_converter:
     type: command
-    component: azureml:ft_nlp_model_converter:0.0.71
+    component: azureml:ft_nlp_model_converter:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_finetune}}'
@@ -634,7 +634,7 @@ jobs:
       mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
   model_prediction:
     type: command
-    component: azureml:model_prediction_with_container:0.0.6
+    component: azureml:model_prediction_with_container:0.0.7
     compute: '${{parent.inputs.compute_model_evaluation}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_evaluation}}'

assets/training/finetune_acft_hf_nlp/components/pipeline_components/text_classification/spec.yaml

@@ -1,6 +1,6 @@
 $schema: https://azuremlschemas.azureedge.net/latest/pipelineComponent.schema.json
 name: text_classification_pipeline
-version: 0.0.72
+version: 0.0.73
 type: pipeline
 display_name: Text Classification Pipeline
 description: Pipeline component to finetune Hugging Face pretrained models for text classification task. The component supports optimizations such as LoRA, Deepspeed and ONNXRuntime for performance enhancement. See [docs](https://aka.ms/azureml/components/text_classification_pipeline) to learn more.
@@ -501,7 +501,7 @@ outputs:
 jobs:
   ft_nlp_common_validation:
     type: command
-    component: azureml:ft_nlp_common_validation:0.0.71
+    component: azureml:ft_nlp_common_validation:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -538,7 +538,7 @@ jobs:
       auto_find_batch_size: '${{parent.inputs.auto_find_batch_size}}'
   text_classification_model_import:
     type: command
-    component: azureml:text_classification_model_import:0.0.71
+    component: azureml:text_classification_model_import:0.0.72
     compute: '${{parent.inputs.compute_model_import}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_import}}'
@@ -549,7 +549,7 @@ jobs:
       validation_output: '${{parent.jobs.ft_nlp_common_validation.outputs.validation_info}}'
   text_classification_datapreprocess:
     type: command
-    component: azureml:text_classification_datapreprocess:0.0.71
+    component: azureml:text_classification_datapreprocess:0.0.72
     compute: '${{parent.inputs.compute_preprocess}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_preprocess}}'
@@ -570,7 +570,7 @@ jobs:
       model_selector_output: '${{parent.jobs.text_classification_model_import.outputs.output_dir}}'
   text_classification_finetune:
     type: command
-    component: azureml:text_classification_finetune:0.0.71
+    component: azureml:text_classification_finetune:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     distribution:
       type: pytorch
@@ -627,7 +627,7 @@ jobs:
       pytorch_model_folder: '${{parent.outputs.pytorch_model_folder}}'
   ft_nlp_model_converter:
     type: command
-    component: azureml:ft_nlp_model_converter:0.0.71
+    component: azureml:ft_nlp_model_converter:0.0.72
     compute: '${{parent.inputs.compute_finetune}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_finetune}}'
@@ -637,7 +637,7 @@ jobs:
       mlflow_model_folder: '${{parent.outputs.mlflow_model_folder}}'
   model_prediction:
     type: command
-    component: azureml:model_prediction:0.0.35
+    component: azureml:model_prediction_with_container:0.0.7
     compute: '${{parent.inputs.compute_model_evaluation}}'
     resources:
       instance_type: '${{parent.inputs.instance_type_model_evaluation}}'