This release is a pre-release and may not be stable for production use.
The TensorFlow official models are a collection of models that use TensorFlow’s high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read.
1 maintainer
Metadata
1 maintainer
Release files for tf-models-nightly 2.5.0.dev20211028
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tf_models_nightly-2.5.0.dev20211028-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for tf_models_nightly-2.5.0.dev20211028-py2.py3-none-any.whl |
Release files / tf_models_nightly-2.5.0.dev20211028-py2.py3-none-any.whl
| Download URL | tf_models_nightly-2.5.0.dev20211028-py2.py3-none-any.whl |
|---|---|
| Size | 1.9 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
89e6840cf820f7612f0474b38ef9e9090f4d25f23ce29a4ec32eeab07e893203
|
|
BLAKE2b-256 checksum How to use checksums |
19016f8c9053a19128b5d8a57b5b9069fff2f674cc5783e27c72d0fd22facc98
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
|
Security for tf-models-nightly 2.5.0.dev20211028
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
