Note: Titles of the records may say "Office Hours," but they are of the course. Video recordings of these workshops can be found at the links below: AI with Transformers
Please screenshot or paste your results in the following Google doc:ĭuring a live session, open and click on the green, yellow, or red cup to indicate how you are doing!
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Wed, Jun 1Ĝustom models from scratch/Perceiver IOįri, Jun 3 Research Presentation / Whirlwind tour of what's new / Next Steps Breakout Roomsĭuring these workshops, we'll have a number of breakout rooms where you'll work with others for discussion or develop code to solve an assignment. Mon, May 30Ĝustom models from scratch/special tokens/domain adaptation Wed, May 18 Text applications / inferencing pipeline / sharing your work interactively with Gradioįri, May 20 Training for text / pushing to hub / custom Gradio - see Mon, May 16 Introduction to Transformers, architecture, Huggingface models, datasets, spaces We’ll have office hours for you to work with us to get your first project off the ground! Also begin thinking about any projects you might want to accomplish during our month.
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The free account should be sufficient, but you will get more compute (and longer running times) if you sign up for Colab Pro at ~$5/month. Sign up for a Google Collaboratory account.Let us know how you are doing using Fastcups at !.Perform homework assignments before coming to class the next day.Open Colab (workbook) notebooks and actively write code along with the instructor.To get the most out of this crash course in Python:
Course Coverage Getting the Most out of this Course The objective of these workshops is to develop foundational skills in understanding, inferencing and training Transformer models primarily using HuggingFace, an extremely user-friendly API for transformers. Jesse Spencer-Smith, Chief Data Scientist Presented by Vanderbilt Data Science Institute data scientists: Introduction to Transformer models, with practical applications to inferencing and training
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