#AllenCRF A full features CRF for PyTorch extracted from the AllenNLP Framework
Docs
See the AllenNLP documentation about CRF for full API docs.
Why
The CRF implementation in the AllenNLP framework is very good and easy to use. It notably has a convenient API for specifying allowed (and thus forbidden) transitions.
We extracted the CRF implementation from the framework, so that we can use it without the other dependencies that AllenNLP includes.
Credits
The original implementation was written by Joel Grus with ongoing work from the good folks at AllenNLP.
1 maintainer
Metadata
1 maintainer
Release files for allencrf 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| allencrf-1.0.2.tar.gz | 9.3 kB | Details |
Release files / allencrf-1.0.2.tar.gz
| Download URL | allencrf-1.0.2.tar.gz |
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| Size | 9.3 kB |
| Tags | Source |
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