Token Classification
Flair
PyTorch
Arabic
English
sequence-tagger-model
Dialectal Arabic
Code-Switching
Code-Mixing
Instructions to use megantosh/flair-arabic-dialects-codeswitch-egy-lev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use megantosh/flair-arabic-dialects-codeswitch-egy-lev with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("megantosh/flair-arabic-dialects-codeswitch-egy-lev") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8138def04966a2f08dfc3a81001ec9e1a5777ee92d4f9ec8128f4f8854c8cfc2
- Size of remote file:
- 1.15 GB
- SHA256:
- d52c4db25667cd25d003121ae33b71a7247bf71b16e7b44e7b74f9be262e7252
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