This is a streamlit dashboard which user can use HF (Huggingface) model and HF Dataset to perform simple Machine Learning tasks. Users can also upload pt model zip folder generated by Huggingface and/ or upload dataset to perform tasks.
As for current version, there is only support for Sentiment Classification, and only supports 0 and 1 for label.
How to run - Example: in bash
streamlit run app.py --server.maxUploadSize=1028
Operation Type: {HuggingFace, Upload}
Upload: upload your own model zip file and dataset. HuggingFace: Enter the huggingface model name and huggingface dataset name. p.s. Current Version only supports sentiment analysis, so please use appropraite model and dataset.
Click Run to process the dataset and check if model is ok.
Click Evaluate to run 3 epoch (Fine-Tuning) and evaluate at last.