Instructions for huggingface/transformers, covering copilot-instructions.md guide for hugging face transformers, core project structure, coding conventions for hugging face transformers, copying and inheritance and testing.
Instructions for huggingface/transformers, a project described as: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Instructions for huggingface/transformers, a project described as: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Instructions for huggingface/diffusers, a project described as: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Instructions for huggingface/diffusers, a project described as: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Claude Code instructions for NVIDIA/TensorRT-LLM, a project described as: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python…
Instructions for ndif-team/nnsight, covering nnsight — agent guide, how to use this file, by task, "i want multi-token / autoregressive generation" and "i want to run multiple prompts at once".
Instructions for PINA-org/PINA, covering pina — physics-informed neural architectures, quick reference, workflow: problem → model → solver → trainer, problem types and condition types.
Instructions for NVIDIA/TensorRT-Model-Connect, covering agent instructions, repository target, branch and pr flow, github pages and model-family ownership and execution philosophy.
Repository instructions for a PyTorch project that predicts lottery tickets. They describe communication practices, expected deliverables, Makefile commands, and a general workflow for implementing requests.
Instructions for tensorcircuit/tensorcircuit-ng, covering tensorcircuit-ng repository guide for ai agents, mission, non-negotiable rules, environment rules and where to look first.
Instructions for Tele-AI/TeleFuser, a project described as: High-performance runtime for real-time multimodal generation and world models—streaming inference, stateful sessions, and distributed GPU execution.
Instructions for Tele-AI/TeleFuser, covering telefuser - agent guidelines, scope and sources of truth, repository map, common commands and development rules.