HuggingFace Transformers: Architecture and Pipeline Functions

🤗 In this video, we dive into the Hugging Face Transformers library!

🚀 I explain how the pipeline function works step by step, and cover the encoding and decoding model types in transformer-based models.

📌 What you’ll learn:

How to use the pipeline() function
The structure of encoder-decoder models
Practical examples using Hugging Face Transformers

📚 Resources and Links:
GitHub Source Code: https://github.com/MehmetFiratKomurcu...
HuggingFace Course: https://huggingface.co/learn/llm-cour...
Attention Is All You Need: https://arxiv.org/abs/1706.03762
Transformers: https://github.com/huggingface/transf...
BERT: https://huggingface.co/docs/transform...
OPENAI GPT: https://huggingface.co/docs/transform...
BART: https://huggingface.co/docs/transform...

💬 Stay Connected:

LinkedIn:   / mehmetfiratkomurcu  
Twitter: https://x.com/mfkintech
Newsletter: https://firatkomurcu.com
Blog: https://blog.firatkomurcu.com
GitHub: https://github.com/MehmetFiratKomurcu

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