Optimizing Bark TTS with Hugging Face Transformers: enable Better Transformer and Flash Attention

AI Impact Summary

This change documents optimizing Bark TTS using Hugging Face's Transformers ecosystem (Transformers, Optimum, Accelerate) and the Better Transformer path to enable Flash Attention for faster inference. It demonstrates loading the Bark small/large checkpoints (suno/bark-small / suno/bark) and upgrading the model with model.to_bettertransformer(), plus measuring latency and memory to compare baselines vs optimized runs. Benchmarks show baseline execution times around 9.384 seconds with a peak memory near 1.9146 GB, improved to about 5.433 seconds with similar memory when using Better Transformer; guidance emphasizes 100-iteration benchmarking for stable results.