Hugging Face Model Training Guide 🤗

Welcome to the Hugging Face Model Training documentation! Here, you'll find essential resources to help you train and fine-tune machine learning models efficiently. 🚀

📚 Getting Started with Training

1. Install Transformers Library
   Start by installing the Hugging Face Transformers library via pip:

   pip install transformers
   

2. Load Pretrained Models
   Use the AutoModel class to load models like BERT, GPT-2, or T5:

   from transformers import AutoModel
   model = AutoModel.from_pretrained("bert-base-uncased")
   

3. Prepare Training Data
   Ensure your dataset is formatted correctly (e.g., Dataset class from datasets library).

🧠 Training Process Overview

• Tokenization: Convert text to tokens using AutoTokenizer.
• Training Loop: Implement training with Trainer API.
• Evaluation: Monitor performance using metrics like accuracy or F1-score.

📝 Resources for Further Learning

• Hugging Face Overview
• Training Tutorials
• Model Cards

Let us know if you need help with specific training tasks! 🤝