How to use Aziracrow/Crowley with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("Aziracrow/Crowley") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence)
https://huggingface.co/Aziracrow/Crowley/resolve/main/README.md
hf download hf://Aziracrow/Crowley/README.md
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Aziracrow/Crowley/resolve/main/README.md
license: openrail datasets: - HuggingFaceTB/cosmopedia metrics: - character library_name: flair pipeline_tag: audio-to-audio tags: - legal
