HuggingFace Transformers: Architecture and Pipeline Functions скачать в хорошем качестве

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 👍 If you find this video helpful, please like, subscribe, and share it with your fellow developers! Your support encourages me to create more content like this!