Build a Text Classification Model in 5 Hours | Hugging Face from Scratch
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📝 Description
A comprehensive, multi-hour tutorial detailing the construction of a text classification model utilizing the Hugging Face Transformers library. The content covers the entire workflow, starting from initial data preparation, progressing through the model training phase, and concluding with inference setup. The approach focuses on practical implementation, demonstrating how to build a functional model using established machine learning frameworks like PyTorch.
This crash course serves as an intensive guide for learning transfer learning concepts applied to transformer models. The associated source code and supplementary course materials are provided separately for deeper study and reference alongside the video instructions.
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