In this video, we dive deep into fine-tuning Florence 2, a state-of-the-art vision language model by Microsoft. Learn how to enhance your model's capabilities to accurately respond to questions based on image inputs! 📸💬 Massed compute: Coupon: MervinPraison (50% Discount) Connect to Massed Compute after Deploy: What You'll Learn: Introduction to Florence 2: Understand the basics and why fine-tuning is essential. Setting Up Your Environment: A step-by-step guide on configuring your GPU and installing necessary libraries. Creating and Preprocessing Your Dataset: Learn how to prepare your data for training. Training the Model: Detailed walkthrough of the training process, including embedding conversion and model optimisation. Uploading to Hugging Face: How to save and share your trained model on Hugging Face. Why Fine-Tune Florence 2? Improve Accuracy: Get precise answers to your image-based questions. Customize for Specific Tasks: Train the model on your own datasets for tailored performance. Versatile Applications: From document VQA to health anomaly detection, apply the model in various domains. 🔗 Useful Links: Patreon: Ko-fi: Discord: Twitter / X : Sponsor a Video or Do a Demo of Your Product: Code: Setup Steps: Environment Configuration: Setup your GPU and install required modules. Dataset Preparation: Load and preprocess the document VQA dataset. Model Training: Fine-tune Florence 2 with custom data. Save and Deploy: Upload your trained model to Hugging Face for easy access. Benefits: Enhanced Model Performance: Fine-tuning improves the model's ability to understand and respond accurately. Flexible Application: Use your model for diverse tasks like document analysis and medical image evaluation. Community Sharing: Share your trained model on Hugging Face, benefiting from community feedback and collaboration. Don't forget to like, share, and subscribe! 👍🔔 Timestamps: 0:00 - Introduction to Fine-Tuning Florence 2 0:21 - Importance of Fine-Tuning 0:51 - Training the Model 1:19 - Document VQA Dataset 2:14 - Environment Setup 3:14 - Data Preparation & Embedding 5:00 - Model Training Process 7:00 - Uploading to Hugging Face 9:25 - Conclusion and Future Videos Dive into the world of vision language models and elevate your AI projects with our comprehensive tutorial on fine-tuning Florence 2! 🚀