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syntag/
testcompany-firstmodel

Name: testcompany-firstmodel
Rating: 2.5 (5 reviews)

bertopic

text-classification

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testcompany-firstmodel

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("syntag/testcompany-firstmodel")

topic_model.get_topic_info()

Topic overview

Number of topics: 1
Number of training documents: 20

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	the - and - is - to - new	20	-1_the_and_is_to

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

Framework versions

Numpy: 1.24.4
HDBSCAN: 0.8.33
UMAP: 0.5.4
Pandas: 2.0.3
Scikit-Learn: 1.3.1
Sentence-transformers: 2.2.2
Transformers: 4.34.1
Numba: 0.58.1
Plotly: 5.17.0
Python: 3.8.18