Video-LLaMA vs transformers
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Video-LLaMA | transformers | |
|---|---|---|
| Tagline | Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models |
| Stars | 3.1k | 162k |
| Forks | 286 | 34k |
| Open issues | 69 | 2.5k |
| Language | Python | Python |
| License | BSD-3-Clause | Apache-2.0 |
| Last pushed | Jun 4, 2024 | Jul 7, 2026 |
| Categories | AI Agents, Model Training, Inference & Serving | Data & Retrieval, Model Training, LLM Frameworks |
Video-LLaMA
This repository hosts the Video-LLaMA project, focused on enhancing large language models with understanding of video and audio content. It provides functionalities for cross-modal pre-training and instruction tuning, aiming to improve multimodal understanding capabilities.
Python
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python