Calling Hugging Face inference APIs from Azure ML
Good Day, Is that possible to call HuggingFace endpoints API (for the warm inference) without deploying the model itself from Azure ML? Thank you
Set up as Workspace Owner and Data Scientist role, but cannot create notebooks/write files
I just set up a Workspace under my Subscription, and am the Owner on both. I'm trying to work in Azure ML in this Workspace, where I have a Azure ML Data Scientist role for myself as well, and keep getting this message when I try to create a new…
Which registry should I use for MLOps?
Hi there, I want to set up MLOps CI/CD pipeline, which registry should I use for MLOps(Azure Container Registry or Azure Machine Learning Registry)? And what are the best practices for MLOps? Thanks®ards, zmsoft
Why can only a Compute instance of Azure Machine Learning be assigned to one user
Hi there, Why can only a Compute instance of Azure Machine Learning be assigned to one user? How to share with other users? Thanks&Regards, zmsoft
"Error 'Resource provider not registered' when deploying model in Azure ML Tutorial (Free Trial)"
Hi, I'm following the Microsoft Learn tutorial "Create a classification model with Azure Machine Learning designer" (https://microsoftlearning.github.io/mslearn-ai-fundamentals/Instructions/Labs/01-machine-learning.html) with an Azure Free…
I get 401 error when I test the mode externally.
when I test the model on postman or by usin python code by both methord i am getin the same output 401 error , it says "401 key_auth_access_denied" . where is the problem
Passing in expected input_data to endpoint returns ForecastingDataException
I created an online endpoint for a model trained by AutoML (so the score python file was internally built by AutoML). When I pass a JSON input to the endpoint with the same parameters as the column names in the training CSV file, I get this error. What…
Cannot get ML data set created by following the tutorial
Hi I am trying to create data set using the tutorial here https://zcusa.951200.xyz/en-us/azure/machine-learning/tutorial-explore-data?view=azureml-api-2 I cannot get the following code to run - It has an issue with a missing parameter I think in the …
Fine Tuning a LLM
I am trying to fine tune a Language Model available on Azure Machine Learning Workspace. It involves two steps for data ingestion: data Uploading data mapping But after I am able to successfully upload data, I am not getting any functionality to map…
How to fix "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed." while using Promt Flow.
I have made a custom image to use python's version 3.10.1 on Azure Ai Foundry 's Prompt Flow ( Earlier Ai Studio). The Flow is running successfully by ignoring the error. ERROR: pip's dependency resolver does not currently take into account all the…
Online Endpoint Deployment in Azure ML Studio
I was using the Azure Machine learning studio yesterday and my endpoints were deployed perfectly. I came back today and I am unable to test my endpoints because "V1 deployment testing is not supported." Does anyone know how to dix this issue
"ManagedIdentityCredential.get_token_info failed" in train.py (serverless)
In my Azure ML pipeline, I have a training step which uses a file called train.py to train my model. The issue is, whether I use DefaultAzureCredential() or ManagedIdentityCredential(), I get errors similar to the one…
AzureMLException: Error in Streaming from Input Data Sources
An AzureMLException is encountered with the message "Error Code: ScriptExecution.StreamAccess.Unexpected Native Error: error in streaming from input data sources" when using the 'Apply SQL Transformation' component in the Azure ML designer…
Mlflow and Spark
Hi, I encountered the following problem when I tried to use a model for spark inference (via mlflow.pyfunc.spark_udf) that I had previously trained in pandas and saved in mlflow. I saved a model via from mlflow.tracking import MlflowClient from…
MLflow Model Deployment Error - Can't Find MLmodel File in Registered Model
Hi, I'm trying to deploy a registered MLflow model in Azure ML. I've already fixed the environment issues by creating a custom environment with the correct dependencies for GPU support and tensor parallelism. However, now I'm getting an error in the…
Error training model in ML Studio
Hello, I get the following error while running an "Automated ML" job in ML Studio. Failed to download snapshot from storage using SAS url. Error message: This request is not authorized to perform this operation. Authentication error when…
How to correct Error Code: ScriptExecution.StreamAccess.Unexpected
I am using AMLS for a class. First week of usage...no issues. Second week of usage...no loaded csv file is recognized by any node. I continue to receive the above error, even with a csv file containing 3 columns and 15 rows of data. I can read the data…
Azure ML endpoint - getting predict_proba output
Hi, I've created AutoML job to do binary classification and registered some models to create endpoints, the endpoints are not producing predic_probabilities outputs event when I'm passing to json "GlobalParameters": { "method":…
AzureMLCompute job failed 500: [REDACTED]: Some(true) Error while creating custom environment in azure ml
Hello everyone, I am trying to create a custom environment to train and deploy a catboost regression model in azure ml SDK. However when I submit the job, it's running for a while and then throws "AzureMLCompute job failed 500: [REDACTED]:…
I get the following error message on datasets that worked previously, how do I fix this problem?
AzureMLException: Message: Error Code: ScriptExecution.StreamAccess.Unexpected Native Error: error in streaming from input data sources StreamError(Unknown("Dataflow at inmemory://dataflow/dea9ef925fd2e0f84b13b7cb3c8aa074 is not valid.",…