Fine-Tune a Text Generation Model with Hugging Face | DeepSeek in Colab (10 Min) скачать в хорошем качестве

Fine-Tune a Text Generation Model with Hugging Face | DeepSeek in Colab (10 Min)

🚀 Fine-Tuning Text Generation Models with Hugging Face & Google Colab In this video, we'll fine-tune a text generation model using Hugging Face Transformers inside Google Colab . We'll go step by step, from loading a DeepSeek model to training it on custom data and running inference! 🔥 🔗 Run the Notebook on Google Colab → https://colab.research.google.com/git... 📂 GitHub Repo → https://github.com/AICodexLab/Hugging... 📩 Contact → contact@aicodexlab.com 📌 Timestamps ⏳ Skip to any section quickly! 0:00 Intro – What You’ll Learn 0:20 What is Text Generation? (Hugging Face Overview) 2:03 Running Inference with a Pretrained Model 4:45 Fine-Tuning the Model Using Hugging Face Trainer 9:04 Testing the Fine-Tuned Model in Colab 📌 Important Note: ⚠️ W&B API Key Location Update In the video, I accessed the Weights & Biases API Key from the homepage, but if you have existing projects, it won’t appear there. ➡️ To get your API key, go to: 🔗 https://wandb.ai/settings#api #huggingface #deepseek #googlecolab #ai #nlp #finetuning #machinelearningmodels