I'm trying to run an Azure ML Batch endpoint job, but the job always ends with an error because of the input (see below). I used a model created and trained in the Azure designer as described on the page:…
So, when I create an Endpoint instance for inferencing, it asks me for a scoring_script.py file (which I provide, no problems), but inside of it, I have a dependency that must be met. My instance is crashing, because the image…
I'm detecting text from images in python. I'm using pytesseract 0.3.10 . but it seems this library is just working on windows OS while I'm using Ubuntu 22.04. in all examples codes using cmd address like this. pt.pytesseract.tesseract_cmd = 'C:/Program…
I have Flask application using machine learning model from huggingface, the model size is 1.1 GB, and I am trying to find the best way to download this model, so the model is downloaded during building the docker image, using…
I have been unable to get any output from the model even waiting 10 minutes. Running on a Azure Notebook with a Compute instance Standard_E4ds_v4, 4 core, 32GB. Any assistance is appreciated. Code: !source activate llm_env %pip install conda import…
I have a problem with loading a file to a Docker image. I would like to pass the file path as an argument and then be able to access (read) it from inside the image. model.py if __name__ == '__main__':…
I have table with classification result of binary classification. something like id, predict_value, real_value 1, true, true 2, true, false ... I want to get with sql classification_report, something like class precision recall f1-score support False 0.97 1.00 0.98 57241…
i am facing trouble integrating my custom trained artificial intelligence image classifier model in my flutter web application. i have already converted and saved the model in tflite and labels.txt file, but tflite package documentation only show support for android…
I have been having a hard time to deploy my locally trained SKlearn model (pipeline with custom code + logistic model) to Sagemaker Endpoint. My Pipeline is as follows: All this custom code (RecodeCategorias) does is normalize and recode some…
When trying to run one of the Neptune-ML examples in a notebook instance when running the line endpoints=neptune_ml.setup_pretrained_endpoints(s3_bucket_uri, setup_node_classification, setup_node_regression, setup_link_prediction, setup_edge_classification, setup_edge_regression) it returns None, and I can see the following error in the logs: ERROR:root:Unable to determine the…