streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Simplify the process of fine-tuning multimodal models with ready-to-use configurations and training setups.
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maestro has 2.7k stars on GitHub. It has been forked 222 times. maestro is written mainly in Python. It has been in active development since 2023. maestro is available under the Apache-2.0 license. Its main topics are captioning, fine-tuning, florence-2, multimodal.
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
maestro is an open-source project. It is released under the Apache-2.0 license.
Yes. maestro is free and open source — you can use, modify and self-host it.
maestro is available under the Apache-2.0 license.
maestro is written mainly in Python.
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