Instructions to use Nara-Lab/History_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use Nara-Lab/History_LM with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("Nara-Lab/History_LM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48fa9aa0cdc0b6e405b58b26e66baaa7e5cd45f5430f9b2b750419e837624fbe
- Size of remote file:
- 19.6 MB
- SHA256:
- 132bb9bba7f851bfb55c6ed7ddb43489bc563a4c280e5b03bd7a9c58a9bffd31
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