Autodistill autodistill-yolor
The autodistill-yolor package integrates with the Autodistill ecosystem, a framework for distilling large models into smaller, edge-ready models.
If you are interested in implementing the autodistill-yolor package for use with Autodistill, leave an issue on the main Autodistill GitHub repository to discuss getting started.
1 maintainer
Release files for autodistill-yolor 0.0.1
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-yolor-0.0.1.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autodistill_yolor-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.4 kB
Release files / autodistill-yolor-0.0.1.tar.gz
| Download URL | autodistill-yolor-0.0.1.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
|
Release files / autodistill_yolor-0.0.1-py3-none-any.whl
| Download URL | autodistill_yolor-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
|
