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lgdias/
tces_v1.5

Name: tces_v1.5
Availability: InStock

bertopic

text-classification

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tces_v1.5

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("lgdias/tces_v1.5")

topic_model.get_topic_info()

Topic overview

Number of topics: 2
Number of training documents: 11927

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
0	art - portaria - goias - estadual - lei	10090	0_art_portaria_goias_estadual
1	suplementar - fonte - saldo - orcamentaria - despesa	1837	1_suplementar_fonte_saldo_orcamentaria

Training hyperparameters

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

Framework versions

Numpy: 2.2.6
HDBSCAN: 0.8.39
UMAP: 0.5.9.post2
Pandas: 2.3.3
Scikit-Learn: 1.7.2
Sentence-transformers: 5.1.1
Transformers: 4.57.0
Numba: 0.61.2
Plotly: 6.3.1
Python: 3.10.18