generate-sequences

This package generates sequences from deep learning architectures developed with pytorch. It can generate in a greedy nature or using beam search. It can generate from both decoder-only, or encoder-decoder architectures.

Metadata

Release files for generate-sequences 0.0.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for generate-sequences 0.0.9
File	Size	Uploaded
generate_sequences-0.0.9.tar.gz	17.2 kB	Jun 25, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for generate-sequences 0.0.9
File	Interpreter	ABI	Platform	Reset
generate_sequences-0.0.9-py3-none-any.whl 17.0 kB Jun 25, 2024	Python 3	none	any	Details

Total release size: 34.3 kB

Release files / generate_sequences-0.0.9.tar.gz

Download URL	generate_sequences-0.0.9.tar.gz
Size	17.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`eb64d55f2c678ed31fe7cdb1c3700253b10b797d49bb3213df49d928a5392b2c`
BLAKE2b-256 checksum How to use checksums	`04d6c4b7154b45841dfd35144d9053361ff7c71f4e9761f5c2c717937c124d78`
Upload date	Jun 25, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.10.14`

Release files / generate_sequences-0.0.9-py3-none-any.whl

Download URL	generate_sequences-0.0.9-py3-none-any.whl
Size	17.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`a663cbf873551669d47c743cf8619271ed08e194660d7677d5bf0153556d1b61`
BLAKE2b-256 checksum How to use checksums	`6ab7f7558131549b47fd498d4321c633776aa24073e6211b505da0c9d1442206`
Upload date	Jun 25, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.10.14`