Automatically distill large foundational models into smaller, in-domain models for deployment
Release files for autodistill-grounded-sam 0.1.2
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_grounded_sam-0.1.2.tar.gz | 10.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autodistill_grounded_sam-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.1 kB
Release files / autodistill_grounded_sam-0.1.2.tar.gz
| Download URL | autodistill_grounded_sam-0.1.2.tar.gz |
|---|---|
| Size | 10.4 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/3.11.4
|
Release files / autodistill_grounded_sam-0.1.2-py3-none-any.whl
| Download URL | autodistill_grounded_sam-0.1.2-py3-none-any.whl |
|---|---|
| Size | 8.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
eb0f337581c36e07b1e90e14cf53626a32f067c0d7618681c4f6c68a861fe93b
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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/3.11.4
|