SeqLbToolkit
This repo realizes Sequence Labeling Toolkits, a toolkit box containing useful functions for accelerating implementing sequences labeling deep learning models such as BiLSTM-CRF or BERT for Token Classification.
1. Installation
- Install from PyPI:
pip install -U SeqLbLoolkit
2. Documentation
Please refer to wiki for documentation.
Metadata
Release files for SeqLbToolkit 0.6.18
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seqlbtoolkit-0.6.18.tar.gz | 31.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| seqlbtoolkit-0.6.18-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 66.1 kB
Release files / seqlbtoolkit-0.6.18.tar.gz
| Download URL | seqlbtoolkit-0.6.18.tar.gz |
|---|---|
| Size | 31.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
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Release files / seqlbtoolkit-0.6.18-py3-none-any.whl
| Download URL | seqlbtoolkit-0.6.18-py3-none-any.whl |
|---|---|
| Size | 35.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
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