|
|
| --- |
| tags: |
| - bertopic |
| library_name: bertopic |
| pipeline_tag: text-classification |
| --- |
| |
| # wolf_topic_model_repKB |
| |
| This is a [BERTopic](https://github.com/MaartenGr/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("wongzien2000/wolf_topic_model_repKB") |
| |
| topic_model.get_topic_info() |
| ``` |
| |
| ## Topic overview |
| |
| * Number of topics: 4 |
| * Number of training documents: 2933 |
| |
| <details> |
| <summary>Click here for an overview of all topics.</summary> |
| |
| | Topic ID | Topic Keywords | Topic Frequency | Label | |
| |----------|----------------|-----------------|-------| |
| | -1 | myoadapt app - myoadapt launch - myoadapt coming - myoadapt - myoadapt compare | 99 | -1_myoadapt app_myoadapt launch_myoadapt coming_myoadapt | |
| | 0 | deadlifts - deadlift - pull ups - exercises - lateral raises | 116 | 0_deadlifts_deadlift_pull ups_exercises | |
| | 1 | squats - squats gym - sissy squats - pistol squats - squat | 2512 | 1_squats_squats gym_sissy squats_pistol squats | |
| | 2 | calf raises - calf raise - protein intake - seated calf - lean mass | 206 | 2_calf raises_calf raise_protein intake_seated calf | |
| |
| </details> |
| |
| ## Training hyperparameters |
| |
| * calculate_probabilities: True |
| * language: None |
| * low_memory: False |
| * min_topic_size: 10 |
| * n_gram_range: (1, 1) |
| * nr_topics: None |
| * seed_topic_list: None |
| * top_n_words: 5 |
| * verbose: True |
| * zeroshot_min_similarity: 0.7 |
| * zeroshot_topic_list: None |
| |
| ## Framework versions |
| |
| * Numpy: 2.0.2 |
| * HDBSCAN: 0.8.40 |
| * UMAP: 0.5.7 |
| * Pandas: 2.2.2 |
| * Scikit-Learn: 1.6.1 |
| * Sentence-transformers: 3.4.1 |
| * Transformers: 4.50.2 |
| * Numba: 0.60.0 |
| * Plotly: 5.24.1 |
| * Python: 3.11.11 |
| |
