Pretrained multilingual speech encoder for ASR and related speech tasks (300M parameters), trained with wav2vec2-style self-supervision on ~500k hours across 1,400+ languages. Designed for 16 kHz audio and typically fine-tuned for downstream ASR/translation/classification.
Performs open-vocabulary promptable segmentation and tracking on images and videos, returning instance masks and unique IDs from short noun-phrase or exemplar prompts. Trained on a 4M-concept, 52M-mask dataset; uses a presence head and a decoupled detector–tracker design, with near real-time inference for multi-object video.
Provides a customizable React-based design system and component library designed for people and AI assistants to build together. Ships 150+ accessible components, a theme system, and a CLI; supports swizzling to eject source and className overrides so projects avoid styling lock-in.
Pretrained image-model checkpoint hosted on Hugging Face by Facebook (Meta) for vision experiments and transfer learning. Includes downloadable weights and metadata under CC BY‑NC 4.0 — suitable for research and prototyping but restricted for commercial use.