4 - Summarization Fine Tuning BART | GPT2 T5 PEGASUS using HuggingFace | NLP Hugging Face Project
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- Опубліковано 22 сер 2024
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Welcome to the fourth installment of our NLP Projects with HuggingFace Tutorial series! In this exciting episode, we delve deep into the world of Summarization Fine-Tuning using some of the most powerful models available: OpenAI Gpt2, Google T5, Facebook BART, and Google PEGASUS.
🚀 In this tutorial, you'll learn how to:
✨ Fine-tune Gpt2, T5, BART, and PEGASUS models for conversation summarization.
✨ Harness the incredible capabilities of these state-of-the-art NLP models.
✨ Understand the intricacies of text summarization in NLP.
✨ Explore real-world applications and use cases for conversation summarization.
Download Code: github.com/lax...
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Very well explained. Thank you!
Thanks
thank you so much! i learn a lot from your video 🤓
which SLM you would recommend for handling summaries in both English and French .thank you
How can I use bart for making of Hindi text summary and it will be a web application , where user will paste his copied paragraph and the summary of that paragraph is displayed to him .
huggingface.co/ai4bharat/IndicBART
Hi, you can use above model for Indian language summarization. Overall code and concepts are same. let me know if you need further help.
@@KGPTalkie does it will generate the summary of given paragraph .
@@KGPTalkie and what and how can I use these in your code
Go through with the link once. It's already there.
How can i use bert to arabic language pleas 🙏
Is Pegasus the best model to generate English summary?
Not the best but yeah better than T5 and BART
How can i use bert model to text Summerazation in arabic languge please
is there no casual mask for labels?
Can I use bart cnn or the other model to generate French summary? I don’t want to fine tune the model
Then it's better to use LLM like chatgpt or llama3 or phi3 for it
@@KGPTalkie thank you very much for your responses. I just want to ask which model you would recommend for handling summaries in both English and French. Thank you.
good
Thanks for watching
Aoa sir your code is too good to understand but i got some error on my dataset can you please help me
Sir pleae reply me
What error are you getting?
I got error of to much unpack data or some dimenision error
Can you check my code please
Ok. Please share at udemy@kgptalkie.com
If not fine tunning so why is this mentioned in the title of the video
Hi
There are many models covered in this lesson. As explained in the video you just need to select BARD if wanna use BARD. I did not select this for this video becuase it took many hours. But anyway you will learn fundamentals of fine tuning.
where is the colab notebook link?, github don't have this notebook
Please check now. I have pushed it. Thanks for watching :)