You can deploy this model and start earning money today!

ychu612/
BERTopic_vafn

Name: BERTopic_vafn
Rating: 2.5 (7 reviews)

bertopic

text-classification

Views

No views yet

BERTopic_vafn

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.

Usage

To use this model, please install BERTopic:

pip install -U bertopic

You can use the model as follows:

python

from bertopic import BERTopic
topic_model = BERTopic.load("ychu612/BERTopic_vafn")

topic_model.get_topic_info()

Topic overview

Number of topics: 3
Number of training documents: 103

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	the - was - she - and - to	15	-1_the_was_she_and
0	the - she - was - and - her	55	0_the_she_was_and
1	the - was - he - and - to	33	1_the_was_he_and

Training hyperparameters

calculate_probabilities: False
language: english
low_memory: False
min_topic_size: 10
n_gram_range: (1, 1)
nr_topics: None
seed_topic_list: None
top_n_words: 10
verbose: False
zeroshot_min_similarity: 0.7
zeroshot_topic_list: None

Framework versions

Numpy: 1.23.0
HDBSCAN: 0.8.33
UMAP: 0.5.5
Pandas: 2.1.4
Scikit-Learn: 1.1.0
Sentence-transformers: 2.3.1
Transformers: 4.38.1
Numba: 0.56.4
Plotly: 5.9.0
Python: 3.10.9