zyds/transformers-code
A practical course repository teaching Huggingface Transformers with Jupyter notebooks covering NLP tasks, model fine-tuning with PEFT, and distributed training.
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A hands-on learning resource focused on the Huggingface Transformers library, synchronized with video tutorials on Bilibili and YouTube. The repository covers foundational NLP components including Pipeline, Tokenizer, and Model, and progresses through advanced topics like PEFT methods, low-precision training with bitsandbytes, and distributed training using accelerate. Exercises include text classification, named entity recognition, text summarization, and building dialogue systems.
Frequently asked
- What is zyds/transformers-code?
- A practical course repository teaching Huggingface Transformers with Jupyter notebooks covering NLP tasks, model fine-tuning with PEFT, and distributed training.
- Is transformers-code open source?
- Yes — zyds/transformers-code is an open-source project tracked on heatdrop.
- What language is transformers-code written in?
- zyds/transformers-code is primarily written in Jupyter Notebook.
- How popular is transformers-code?
- zyds/transformers-code has 4k stars on GitHub.
- Where can I find transformers-code?
- zyds/transformers-code is on GitHub at https://github.com/zyds/transformers-code.