chiphuyen/metaflow-transformers-tutorials
Metaflow tutorials for ODSC West 2021
This project helps data scientists efficiently fine-tune powerful machine learning models for tasks like sentiment analysis. You can take raw text data, train a model using tools like HuggingFace's DistilBERT, and then get a deployable model that can classify the sentiment of new text. It's designed for data scientists who build and deploy ML models.
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Use this if you are a data scientist looking to train and deploy transformer-based models for natural language processing on datasets of varying sizes, leveraging cloud infrastructure for larger tasks.
Not ideal if you're a beginner just starting with Python or if your primary goal is to learn basic machine learning concepts rather than robust model operationalization.
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Nov 16, 2021
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