Instructions to use dtaddis/LFM2.5-VL-450M-Unity-Sentis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use dtaddis/LFM2.5-VL-450M-Unity-Sentis with unity-sentis:
string modelName = "[Your model name here].sentis"; Model model = ModelLoader.Load(Application.streamingAssetsPath + "/" + modelName); IWorker engine = WorkerFactory.CreateWorker(BackendType.GPUCompute, model); // Please see provided C# file for more details
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fe996f5d14e8d7a2fe64632c120c44cdbad33f45ec4931843e669a4fa3f0aa7
- Size of remote file:
- 363 MB
- SHA256:
- 86792bbc639c2ea5e7ff93ce335054c14a62a700707e3c2d07b07fb0e837cd4e
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