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.dev202410310044
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.dev202410310044.tar.gz | 3.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tfds_nightly-4.9.7.dev202410310044-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 MB
Release files / tfds-nightly-4.9.7.dev202410310044.tar.gz
| Download URL | tfds-nightly-4.9.7.dev202410310044.tar.gz |
|---|---|
| Size | 3.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8e90a2ce48a4125d8a2d28a12f5f68a15b55898816dd345110238b9fd42d8386
|
|
BLAKE2b-256 checksum How to use checksums |
03e1fcfc85da99e56dcac28efe25199a8ea4914b90eb713ebcdfdefcbbb29139
|
| 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.dev202410310044-py3-none-any.whl
| Download URL | tfds_nightly-4.9.7.dev202410310044-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ea48d2c5e4f6b293722ef42e363d7232e0596802cf8a8227ee651ff22d0d64b8
|
|
BLAKE2b-256 checksum How to use checksums |
1722d3f47c54b2bfbe492f8f91af0ef74dc13a7b0b69218ec2547eaf42ad5be3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
|
