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wongzien2000/wolf_topics
wolf_topics is a text classification model from wongzien2000. Use it when you need a label for a piece of text. It is set up for bertopic.
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Downloads · 30 days
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35% of all-time downloads
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.json1.5 MB · 54%
From the Hugging Face model README
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
To use this model, please install BERTopic:
pip install -U bertopic
You can use the model as follows:
from bertopic import BERTopic
topic_model = BERTopic.load("wongzien2000/wolf_topics")
topic_model.get_topic_info()
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | lengthened partials - partials - lengthened - partials bitch - fucking partials | 277 | -1_lengthened partials_partials_lengthened_partials bitch |
| 0 | pull ups - deadlifts - deadlift - biceps - curls | 148 | 0_pull ups_deadlifts_deadlift_biceps |
| 1 | pistol squats - pistol squat - sissy squats - sissy squat - squats | 2508 | 1_pistol squats_pistol squat_sissy squats_sissy squat |