https://github.com/autodistill/autodistill-fastvit
FastViT base model for use with Autodistill.
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Repository
FastViT base model for use with Autodistill.
Basic Info
- Host: GitHub
- Owner: autodistill
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://docs.autodistill.com
- Size: 24.4 KB
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- Stars: 1
- Watchers: 2
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- Open Issues: 0
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Metadata Files
README.md
Autodistill FastViT Module
This repository contains the code supporting the FastViT base model for use with Autodistill.
FastViT, developed by Apple, is a classification model that supports zero-shot classification.
Read the full Autodistill documentation.
Read the FastViT Autodistill documentation.
Installation
To use FastViT with autodistill, you need to install the following dependency:
bash
pip3 install autodistill-fastvit
Quickstart
FastViT works using the ImageNet-1k class list. This class list is available in the FASTVIT_IMAGENET_1K_CLASSES variable.
You can provide classes from the list to retrieve predictions for a specific class in the list. You can also provide a custom ontology to map classes from the list to your own classes.
```python from autodistillfastvit import FastViT, FASTVITIMAGENET1KCLASSES from autodistill.detection import CaptionOntology
zero shot with no prompts
base_model = FastViT(None)
zero shot with prompts from FASTVITIMAGENET1K_CLASSES
base_model = FastViT( ontology=CaptionOntology( { "coffeemaker": "coffeemaker", "ice cream": "ice cream" } ) )
predictions = base_model.predict("./example.png")
labels = [FASTVITIMAGENET1KCLASSES[i] for i in predictions.classid.tolist()]
print(labels) ```
License
See LICENSE for the model license.
🏆 Contributing
We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!
Owner
- Name: Autodistill
- Login: autodistill
- Kind: organization
- Email: autodistill@roboflow.com
- Website: https://autodistill.com
- Repositories: 1
- Profile: https://github.com/autodistill
Use bigger slower models to train smaller faster ones
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pypi.org: autodistill-fastvit
FastViT model for use with Autodistill
- Homepage: https://github.com/autodistill/autodistill-fastvit
- Documentation: https://autodistill-fastvit.readthedocs.io/
- License: MIT License
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Latest release: 0.1.2
published almost 2 years ago