AI Project: Efficient Fine-Tuning with LoRA and PEFT (Train LLMs on Consumer Hardware)
In Fine-Tuning (Part 3: Evaluation & Sharing), we fine-tuned a small BERT model. But if you try to fine-tune a modern LLM (like Llama 3…
AI Project: Train on Your Own Data (Loading Local Files with datasets)
So far, we’ve used load_dataset to pull pre-made datasets (like “imdb“) from the Hugging Face Hub. But the real power is training an AI on…
AI Project: Deploy Your Fine-Tuned Model with Flask
This is the ultimate capstone project. In Deploy Hugging Face API, we deployed a pre-trained pipeline. In Fine-Tuning : Part 3, you saved your own…
AI Project: Fine-Tuning a Hugging Face Model (Part 3: Evaluation & Sharing)
This is the final part of our fine-tuning series. In this article, we’ll explore Hugging Face Evaluate and Share to wrap up our journey. Now,…
AI Project: Fine-Tuning a Hugging Face Model (Part 2: The Trainer)
Welcome to Part 2! In Part 1 (The Data), we loaded the “imdb” dataset and prepared it with a tokenizer. Now, we’ll do the exciting…
AI Project: Fine-Tuning a Hugging Face Model (Part 1: The Data)
You’ve used Hugging Face pipelines to run pre-trained models. If you want to get the most from these models, learning about Hugging Face Fine-Tuning is…
