ukairia777/tensorflow-nlp-tutorial
A TensorFlow 2.0 tutorial repository covering NLP deep learning with BERT, GPT, LLaMA, and LLM fine-tuning techniques.
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This repository provides hands-on tutorials for natural language processing using TensorFlow 2.0. It includes chapters on text preprocessing, topic modeling, named entity recognition, question answering, and text classification. The repository covers modern transformer-based models including BERT, GPT-2, and LLM fine-tuning methods such as LoRA, DPO, and SFT, alongside integration with the Hugging Face ecosystem.
Frequently asked
- What is ukairia777/tensorflow-nlp-tutorial?
- A TensorFlow 2.0 tutorial repository covering NLP deep learning with BERT, GPT, LLaMA, and LLM fine-tuning techniques.
- Is tensorflow-nlp-tutorial open source?
- Yes — ukairia777/tensorflow-nlp-tutorial is an open-source project tracked on heatdrop.
- What language is tensorflow-nlp-tutorial written in?
- ukairia777/tensorflow-nlp-tutorial is primarily written in Jupyter Notebook.
- How popular is tensorflow-nlp-tutorial?
- ukairia777/tensorflow-nlp-tutorial has 578 stars on GitHub.
- Where can I find tensorflow-nlp-tutorial?
- ukairia777/tensorflow-nlp-tutorial is on GitHub at https://github.com/ukairia777/tensorflow-nlp-tutorial.