https://github.com/autodistill/autodistill-altclip
AltCLIP model for use with Autodistill.
Science Score: 23.0%
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Repository
AltCLIP model for use with Autodistill.
Basic Info
- Host: GitHub
- Owner: autodistill
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://docs.autodistill.com
- Size: 18.6 KB
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- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
Autodistill AltCLIP Module
This repository contains the code supporting the AltCLIP base model for use with Autodistill.
AltCLIP is a multi-modal vision model. With AltCLIP, you can compare the similarity between text and images, or the similarlity between two images. AltCLIP was trained on multi-lingual text-image pairs, which means it can be used for zero-shot classification with text prompts in different languages. Read the AltCLIP paper for more information.
The Autodistill AltCLIP module enables you to use AltCLIP for zero-shot classification.
Read the full Autodistill documentation.
Read the CLIP Autodistill documentation.
Installation
To use AltCLIP with autodistill, you need to install the following dependency:
bash
pip3 install autodistill-altclip
Quickstart
```python from autodistill_altclip import AltCLIP from autodistill.detection import CaptionOntology
define an ontology to map class names to our AltCLIP prompt
the ontology dictionary has the format {caption: class}
where caption is the prompt sent to the base model, and class is the label that will
be saved for that caption in the generated results
then, load the model
base_model = AltCLIP( ontology=CaptionOntology( { "person": "person", "a forklift": "forklift" } ) )
results = base_model.predict("construction.jpg")
print(results) ```
License
The AltCLIP model is licensed under an Apache 2.0 license. See the model README for more information.
🏆 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
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pypi.org: autodistill-altclip
AltCLIP model for use with Autodistill.
- Homepage: https://github.com/autodistill/autodistill-altclip
- Documentation: https://autodistill-altclip.readthedocs.io/
- License: MIT License
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Latest release: 0.1.2
published over 2 years ago
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Dependencies
- Pillow *
- autodistill *
- numpy *
- supervision *
- torch *
- transformers *