Pre-release
This release is a pre-release and may not be stable for production use.
FastEstimator is a high-level deep learning API. With the help of FastEstimator, you can easily build a high-performance deep learning model and run it anywhere.
Metadata
Release files for fastestimator-nightly 1.5.0.dev202203292130
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastestimator-nightly-1.5.0.dev202203292130.tar.gz | 397.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastestimator_nightly-1.5.0.dev202203292130-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.4 MB
Release files / fastestimator-nightly-1.5.0.dev202203292130.tar.gz
| Download URL | fastestimator-nightly-1.5.0.dev202203292130.tar.gz |
|---|---|
| Size | 397.0 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.1 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10
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Release files / fastestimator_nightly-1.5.0.dev202203292130-py3-none-any.whl
| Download URL | fastestimator_nightly-1.5.0.dev202203292130-py3-none-any.whl |
|---|---|
| Size | 953.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
187217abf658041722aceaabe86df4158c328d7443df33d0dce90f329595cfda
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.1 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10
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