How to Custom Train Question Answering Model Using BERT Transformer

Поділитися
Вставка
  • Опубліковано 18 вер 2024
  • Learn how to do custom tranining of a Question Answering dataset using Large Language Model (LLM) like BERT, DistilBERT, RoBERTa, etc. Here, we will be using SimpleTransformers, whihc is based on Transformers library by HuggingFace. In few lines of coding, I will show you how to do custom tranining. It's pretty simple. Happy coding !!
    Github by Ayan: github.com/aya...
    SimpleTransformers: simpletransfor...
    Github of SimpleTransformers: github.com/Thi...
    For similar videos:
    Hugging Face transformer: • Tutorial 19 - Huggingf...
    Hugging Face BERT transformer: • Tutorial 20 - Hugging ...
    Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding: • Text Summarization wit...
    Gemma: • Gemma: Google's New Op...
    Gemma in Hindi: • Gemma: Google's New Op...
    Gemma Quantization: • Google Gemma | Quanti...
    Gemma Fine tuning: • How To Fine Tune Gemma...
    Meta Llama 3 outperforms other LLMS: • Meta Llama 3 outperfor...
    How To Use Meta Llama3 With Huggingface in 3 lines of Coding: • How To Use Meta Llama3...
    How to use Meta Llama3 With Huggingface chat : • How to use Meta Llama ...
    How to run Llama3 locally on your computer: • How to Run Llama 3 Loc...
    Podcast on Generative AI insights • Generative AI Insights...
    Podcast on How to crack Data Science interviews: • How to crack Data Scie...
    Podcast on How to crack Interview at Amazon: • Podcast on How to crac...
    How to prep for ML interviews: • Data Science Mock Inte...
    Data Science Mock interview: • Data Science Mock Inte...
    #huggingface #generativeai #nlp #bart

КОМЕНТАРІ •