Petriorlz/MOSS-Transcribe-Diarize
MOSS-Transcribe-Diarize 0.9B is an open-source SOTA end-to-end audio understanding model for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness.
MOSS-Transcribe-Diarize 0.9B is an open-source SOTA end-to-end audio understanding model for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness.
MOSS-Audio is an open-source foundation model for unified audio understanding, enabling speech, sound, music, captioning, QA, and reasoning in real-world scenarios.
verl: Volcano Engine Reinforcement Learning for LLMs
A high-throughput and memory-efficient inference and serving engine for LLMs
A high-throughput and memory-efficient inference and serving engine for LLMs
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Reproducible experimental protocols for multimedia (audio, video, text) database
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite