⛔ [DEPRECATED] Adapt Transformer-based language models to new text domains

We use phonetics as a feature to create a joint semantic-phonetic embedding and improve the neural machine translation between Chinese and Japanese. 🥳

This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.

Hugging Face Transformers offer a powerful framework for state-of-the-art NLP, with the Pipeline API for easy inference, Tokenization for efficient preprocessing, and Quantization for optimized deployment.

Run large language models like Qwen and LLaMA locally on Android for offline, private, real-time question answering and chat — powered by ONNX Runtime.

Sesta attività di Big Data Analytics

Huggingface tokenizers for Haskell