YangKai0616/sglang-omni
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
SGLang is a high-performance serving framework for large language models and multimodal models.
SGLang kernel library for Intel XPU
Build compute kernels and load them from the Hub.
A framework for few-shot evaluation of language models.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
SYCL* Templates for Linear Algebra (SYCL*TLA) - SYCL based CUTLASS implementation for Intel GPUs
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Train transformer language models with reinforcement learning.
Kernel sources for https://huggingface.co/kernels-community