# Zoo Remote Model Build FiftyOne remote model zoo integrations that work with `register_zoo_model_source`, multi-worker DataLoader, and `dataset.apply_model`. ## Install ```bash curl -sL skil.sh | sh -s -- voxel51/fiftyone-skills ``` When prompted, select **fiftyone-zoo-remote-model** from the menu. ## Requirements - [FiftyOne](https://docs.voxel51.com/getting_started/install.html) - Python 3.9+ - PyTorch (or the framework your model uses) ## Usage Ask your AI assistant: ```default "Build a remote zoo model wrapper for my Hugging Face detection model" "Create a FiftyOne zoo source with manifest.json for my custom classifier" "My zoo model raises ModuleNotFoundError from DataLoader workers — fix it" "Add VLM-style prompt dispatch to my zoo model" ``` The skill scaffolds the source layout (`manifest.json`, `__init__.py`, `zoo.py`), wires the model class against `TorchModelMixin` + `SupportsGetItem`, and walks the validation steps so the result works under multi-worker DataLoader and `dataset.apply_model`. ## Example Register and apply a zoo source written with this skill: ```python import fiftyone as fo import fiftyone.zoo as foz foz.register_zoo_model_source("/path/to/your-zoo-source") model = foz.load_zoo_model("your-model-name") dataset = fo.load_dataset("your-dataset") dataset.apply_model(model, label_field="predictions") ``` ## See also - [Remotely-sourced zoo models](https://docs.voxel51.com/model_zoo/remote.html) - [FiftyOne model zoo source](https://github.com/voxel51/fiftyone/tree/develop/fiftyone/zoo/models)