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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# general-april-3 |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("Thang203/general-april-3") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 11 |
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* Number of training documents: 6795 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| 0 | financial - legal - summarization - models - llms | 251 | 0_financial_legal_summarization_models | |
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| 1 | reasoning - models - language - llms - language models | 887 | 1_reasoning_models_language_llms | |
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| 2 | models - llms - attacks - attack - language | 467 | 2_models_llms_attacks_attack | |
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| 3 | models - model - training - language - inference | 528 | 3_models_model_training_language | |
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| 4 | language - models - llms - human - model | 638 | 4_language_models_llms_human | |
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| 5 | medical - clinical - models - language - llms | 524 | 5_medical_clinical_models_language | |
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| 6 | visual - multimodal - models - image - language | 630 | 6_visual_multimodal_models_image | |
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| 7 | code - generation - code generation - llms - models | 417 | 7_code_generation_code generation_llms | |
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| 8 | models - language - language models - model - llms | 1232 | 8_models_language_language models_model | |
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| 9 | chatgpt - ai - students - education - generative | 542 | 9_chatgpt_ai_students_education | |
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| 10 | models - chatgpt - language - ai - llms | 679 | 10_models_chatgpt_language_ai | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: 11 |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.25.2 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.6 |
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* Pandas: 2.0.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.6.1 |
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* Transformers: 4.38.2 |
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* Numba: 0.58.1 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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