Autodistill ViT Module
This repository contains the code supporting the ViT target model for use with Autodistill.
ViT is a classification model pre-trained on ImageNet-21k, developed by Google. You can train ViT classification models using Autodistill.
Read the full Autodistill documentation.
Read the ViT Autodistill documentation.
Installation
To use the ViT target model, you will need to install the following dependency:
pip3 install autodistill-vit
Quickstart
from autodistill_vit import ViT
target_model = ViT()
# train a model from a classification folder structure
target_model.train("./context_images_labeled/", epochs=200)
# run inference on the new model
pred = target_model.predict("./context_images_labeled/train/images/dog-7.jpg", conf=0.01)
License
The code in this repository is licensed under an Apache 2.0 license.
🏆 Contributing
We love your input! Please see the core Autodistill contributing guide to get started. Thank you 🙏 to all our contributors!
Release files for autodistill-vit 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autodistill-vit-0.1.0.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autodistill_vit-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.7 kB
Release files / autodistill-vit-0.1.0.tar.gz
| Download URL | autodistill-vit-0.1.0.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5647d625a1b9f897328a1edf77a7435630ba5bfc1b791a17947331560241f958
|
|
BLAKE2b-256 checksum How to use checksums |
12ba706462907af88808df357a3513c674335af226d1276ec26bd56369149c24
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
|
Release files / autodistill_vit-0.1.0-py3-none-any.whl
| Download URL | autodistill_vit-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fff1adb79031b5236aa7c4895223f0434e1679db9efcb0642688253f3da3ad68
|
|
BLAKE2b-256 checksum How to use checksums |
0275bd2affd25601bdcce764bdfbd104feb89437c18d8f9dd924a464aa4bb633
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
|