Meta's LLAMA 3 with Hugging Face - Hands-on Guide | Generative AI | LLAMA 3 | LLM
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- เผยแพร่เมื่อ 20 เม.ย. 2024
- Dive into the future of generative AI with our detailed guide on how to access Meta's LLAMA 3 using Hugging Face. This video provides a step-by-step walkthrough to help you harness the power of one of the most advanced language models available today.
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My first hands-on, programming tutorial that I’ve walked through in 20 years. Very well done (followed on LinkedIN). I had trouble with the Pipeline, max tokenizer return. I’ll troubleshoot more later. Ran after I removed that Pipeline attribute. Well done - thanks for your time making these videos. Excellent introduction/hands on to AI programming.
Thank you very much!
Bro. In machine learning by using svm or lr, if i give any input it shows reults as 1. It doesn't show 0.And it shows some warning messages like you reached maximum iteration . Limit reached. What can I do for this bro..
Can you make a video on fine tuning using hugging face models on custom set or kaggle dataset ? Either inage or nlp
is llama3 have filters too ? like nfsw conversasion or any thing crime
First off, Great content. Please make a new tutorial with gradio and explain how can we integrate it api .. !!!
Sir can u upload any project for genai other than RAG ... Or any idea for any other project than RAG
text summarization, email auto-response can be good use cases to start with.
is it possible to do this without having colab pro?
"Your request to access this repo has been successfully submitted, and is pending a review from the repo's authors."
How much time will it take??
edit: 10 minutes :D
I'm sorry, can you further explain the role of tokenizer.pad_token = tokenizer.eos_token? Script only runs when this line is removed.
same