In the Crest catalog
facebookresearch/fairseq2
FAIR Sequence Modeling Toolkit 2
- Stars
- 1.2K
- Forks
- 146
- Language
- Python
- Last push
- 46d ago
- Last release
- 7mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
PyPI · v0.6.1 · MIT
FAIR Sequence Modeling Toolkit
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install presight-fairseq2PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
FAIR Sequence Modeling Toolkit 2
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
~=3.0.0~=0.8<2,>=0.32~=7.0~=6.4~=1.0<3,>=2.1~=24.1==0.6.1~=5.9~=13.7~=0.18~=2.4~=0.6~=0.7~=0.0.6~=4.62~=4.12No published news event mentions this package or its repository yet.