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 4.9.6.dev202410250044
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-4.9.6.dev202410250044.tar.gz | 3.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tfds_nightly-4.9.6.dev202410250044-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 MB
Release files / tfds-nightly-4.9.6.dev202410250044.tar.gz
| Download URL | tfds-nightly-4.9.6.dev202410250044.tar.gz |
|---|---|
| Size | 3.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
10e1b66076f8a3cfda99f2d88fc84082daa739bb2bf6b2887c2700b345c0d755
|
|
BLAKE2b-256 checksum How to use checksums |
b91eca871097f225e04be3eb2801b6665646a96fd1f7e92b659bd204095b0b6f
|
| 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-4.9.6.dev202410250044-py3-none-any.whl
| Download URL | tfds_nightly-4.9.6.dev202410250044-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0c20dbd203ed5c831173b8d8667ae88bdba075a9bd3b4539654074ed6ca4ff5e
|
|
BLAKE2b-256 checksum How to use checksums |
422ea8e5176e19130a4ac518d588161bf70e472989ec957c8dc493847388e8cd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
|
