Instructions to use MinionFan/Minion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use MinionFan/Minion with Flair:
from flair.data import Sentence from flair.models import SequenceTagger tagger = SequenceTagger.load("MinionFan/Minion") sentence = Sentence("George Washington went to Washington.") tagger.predict(sentence) print(sentence) - Notebooks
- Google Colab
- Kaggle
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Download README.md from MinionFan/Minion: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
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https://huggingface.co/MinionFan/Minion/resolve/main/README.md
- Command line
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hf download hf://MinionFan/Minion/README.md
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curl -L -o README.md https://huggingface.co/MinionFan/Minion/resolve/main/README.md
198 Bytes
| license: mit | |
| datasets: | |
| - openai/MMMLU | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| base_model: | |
| - openai/whisper-large-v3-turbo | |
| new_version: openai/whisper-large-v3-turbo | |
| library_name: flair | |
| tags: | |
| - ai | |