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                                            Manoj Bableshwar

Model import registration flow using Pipelines

@HrishikeshGeedMS @skasturi looking at the latest component: https://ml.azure.com/registries/azureml-preview/components/download_model model_source: type: string optional: False description: Supported model containers enum: - AzureBlob - GIT - Huggingface can we make this optional and...

Model import registration flow using Pipelines

mlflow_flavor: type: string optional: False description: MLFlow flavor to translate model to. Flavor information is used to determine model loader module enum: - hftransformers can this be automatically detected using...

Model import registration flow using Pipelines

Can we try if there is a way to avoid the task_type in model converter? This info can be fetched using HF hub api and saved in the model_info file.