Downloads · 30 days
5
4% of all-time downloads
KingKazma/cnn_dailymail_6789_2000_1000_v1_train
cnn_dailymail_6789_2000_1000_v1_train is a text classification model from KingKazma. 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
5
4% of all-time downloads
All-time downloads
127
Public
Repo size
4.7 KB
Likes
0
Public
Click a slice to open those files.
.json16.7 KB · 68%
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("KingKazma/cnn_dailymail_6789_2000_1000_v1_train")
topic_model.get_topic_info()
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | second - rider - minute - roma - teammate | 268 | -1_second_rider_minute_roma |
| 0 | said - one - year - would - people | 1 | 0_said_one_year_would |
| 1 | player - game - world - first - club | 1731 | 1_player_game_world_first |