Getting Started with Deep Learning with PyTorch and Hugging Face

This repository contains instructions/examples/tutorials for getting started with Deep Learning using PyTorch and Hugging Face libraries like transformers, datasets.

Training Examples

• Fine-tune FLAN-T5 XL/XXL using DeepSpeed & Hugging Face Transformers
• Fine-tune FLAN-T5 for chat & dialogue summarization
• Fine-tune Falcon 180B with DeepSpeed ZeRO, LoRA & Flash Attention
• Getting started with Transformers and TPU using PyTorch
• Extended Guide: Instruction-tune Llama 2
• Quantize open LLMs using optimum and GPTQ
• Fine-tune Embedding models for RAG
• Fine-tune LLMs in 2024 with TRL
• Fine-tune LLMs in 2025
• Fine-tune Multimodal LLMs with TRL
• RLHF in 2024 with DPO & Hugging Face
• Fine-tune Gemma with ChatML
• Efficiently scale distributed training with FSDP & Q-LoRA
• Fine-tune classifier with ModernBERT in 2025
• How to align open LLMs in 2025 with DPO & Hugging Face

Inference Examples

• Text Generation Inference Examples
• FP8 Inference Benchmarks
• Idefics Inference
• Llama 2 Inference
• Speculative Decoding
• StarCoder GPTQ Inference