Pre-release
This release is a pre-release and may not be stable for production use.
tensorflow/datasets is a library of public datasets ready to use with TensorFlow. Each dataset definition contains the logic necessary to download and prepare the dataset, as well as to read it into a model using the tf.data.Dataset API.
Usage outside of TensorFlow is also supported.
See the README on GitHub for further documentation.
8 maintainers
Release files for tfds-nightly 4.9.7.dev202411070044
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tfds-nightly-4.9.7.dev202411070044.tar.gz | 3.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tfds_nightly-4.9.7.dev202411070044-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 MB
Release files / tfds-nightly-4.9.7.dev202411070044.tar.gz
| Download URL | tfds-nightly-4.9.7.dev202411070044.tar.gz |
|---|---|
| Size | 3.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
088e95c8ef12aeeeed5109abca3da6ca8f2a0b18caedc6315a86bb67dc52ea52
|
|
BLAKE2b-256 checksum How to use checksums |
00fa8912394ed43f82fff480e050fe7c9482a1eeebe6e1d8d89f291179273367
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
|
Release files / tfds_nightly-4.9.7.dev202411070044-py3-none-any.whl
| Download URL | tfds_nightly-4.9.7.dev202411070044-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0d4eb7cf2883da85cd03ed1e8eaa040145080276fe1d1f9646bf25f209d59e41
|
|
BLAKE2b-256 checksum How to use checksums |
52a4ee802b42a2b2bc6a9dfd9aceada51233aaa33ade60b6996082fc99d4bc30
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
|
