testmodel1

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:

from bertopic import BERTopic
topic_model = BERTopic.load("baseball46245/testmodel1")

topic_model.get_topic_info()

Topic overview

• Number of topics: 1
• Number of training documents: 17

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	the - of - and - ai - to	17	-1_the_of_and_ai

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: 1.24.3
• HDBSCAN: 0.8.29
• UMAP: 0.5.3
• Pandas: 2.0.2
• Scikit-Learn: 1.2.2
• Sentence-transformers: 2.2.2
• Transformers: 4.30.1
• Numba: 0.57.0
• Plotly: 5.15.0
• Python: 3.10.6