KDnuggets·2yBuilding a Recommendation System with Hugging Face Transformers
Learn to build a recommendation system using Hugging Face Transformers. This guide walks through the essential steps, from setting up the environment and processing the dataset to using embeddings and cosine similarity for accurate recommendations. It also highlights using the sentence-transformers package for transforming text into numerical vectors.
GoPenAI·2yGetting Started with Parler-TTS: Tips for Fine-Tuning and Inference 🎤🤗
Parler-TTS introduced two new text-to-speech models: a lightweight Parler-TTS Mini v0.1 and a high-quality Parler-TTS Large v1. These models use natural language descriptions to control speech aspects like gender, background noise, and speaking rate. Key advancements include automatic labeling of large datasets and a decoder-only Transformer architecture. The models demonstrate significant improvements in generating high-fidelity speech. The post also provides a step-by-step guide for inference and fine-tuning on custom datasets.