| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # rag-topic-model |
| |
|
| | 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("labdmitriy/rag-topic-model") |
| | |
| | topic_model.get_topic_info() |
| | ``` |
| |
|
| | ## Topic overview |
| |
|
| | * Number of topics: 5 |
| | * Number of training documents: 201 |
| |
|
| | <details> |
| | <summary>Click here for an overview of all topics.</summary> |
| | |
| | | Topic ID | Topic Keywords | Topic Frequency | Label | |
| | |----------|----------------|-----------------|-------| |
| | | -1 | my - for - to - account - payment | 13 | -1_my_for_to_account | |
| | | 0 | refund - nike - my - store - for | 35 | 0_refund_nike_my_store | |
| | | 1 | my - the - for - klarna - payment | 72 | 1_my_the_for_klarna | |
| | | 2 | email - to - my - account - the | 45 | 2_email_to_my_account | |
| | | 3 | card - klarna - it - to - need | 36 | 3_card_klarna_it_to | |
| | |
| | </details> |
| |
|
| | ## 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: 2.1.3 |
| | * HDBSCAN: 0.8.40 |
| | * UMAP: 0.5.7 |
| | * Pandas: 2.2.3 |
| | * Scikit-Learn: 1.6.1 |
| | * Sentence-transformers: 3.1.1 |
| | * Transformers: 4.45.2 |
| | * Numba: 0.61.0 |
| | * Plotly: 6.0.0 |
| | * Python: 3.11.5 |
| | |
