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general-mar11
Thang203/general-mar11
general-mar11 is a text classification model from Thang203. Use it when you need a label for a piece of text. It is set up for bertopic.
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.
All-time downloads
111
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Repo size
8.1 MB
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0
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Repo makeup
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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024
- SHA
- e9afe82b
Try a prompt
Model card
From the Hugging Face model README
general-mar11
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("Thang203/general-mar11")
topic_model.get_topic_info()
Topic overview
- Number of topics: 20
- Number of training documents: 12146
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | models - language - llms - language models - large | 11 | -1_models_language_llms_language models |
| 0 | models - language - language models - model - llms | 3795 | 0_models_language_language models_model |
| 1 | code - language - llms - models - large | 3252 | 1_code_language_llms_models |
| 2 | visual - image - models - multimodal - video | 1236 | 2_visual_image_models_multimodal |
| 3 | detection - text - models - attacks - adversarial | 724 | 3_detection_text_models_attacks |
| 4 | bias - models - biases - llms - gender | 610 | 4_bias_models_biases_llms |
| 5 | medical - clinical - models - language - llms | 451 | 5_medical_clinical_models_language |
| 6 | legal - financial - sentiment - models - language | 437 | 6_legal_financial_sentiment_models |
| 7 | ai - chatgpt - generative - design - generative ai | 377 | 7_ai_chatgpt_generative_design |
| 8 | privacy - data - private - models - federated | 274 | 8_privacy_data_private_models |
| 9 | students - education - chatgpt - ai - student | 201 | 9_students_education_chatgpt_ai |
| 10 | driving - autonomous - autonomous driving - traffic - spatial | 164 | 10_driving_autonomous_autonomous driving_traffic |
| 11 | protein - molecular - materials - chemical - drug | 113 | 11_protein_molecular_materials_chemical |
| 12 | reinforcement learning - reinforcement - learning - rl - policy | 103 | 12_reinforcement learning_reinforcement_learning_rl |
| 13 | math - mathematical - problems - reasoning - theorem | 100 | 13_math_mathematical_problems_reasoning |
| 14 | vulnerability - code - vulnerabilities - security - log | 91 | 14_vulnerability_code_vulnerabilities_security |
| 15 | forecasting - climate - time series - data - carbon | 78 | 15_forecasting_climate_time series_data |
| 16 | style - poetry - style transfer - transfer - poems | 78 | 16_style_poetry_style transfer_transfer |
| 17 | regression - matrix - softmax - mathbbrn - bf | 37 | 17_regression_matrix_softmax_mathbbrn |
| 18 | recipes - recipe - food - cooking - dietary | 14 | 18_recipes_recipe_food_cooking |
Training hyperparameters
- calculate_probabilities: False
- language: None
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: 20
- seed_topic_list: None
- top_n_words: 10
- verbose: True
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.25.2
- HDBSCAN: 0.8.33
- UMAP: 0.5.5
- Pandas: 1.5.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 2.5.1
- Transformers: 4.38.2
- Numba: 0.58.1
- Plotly: 5.15.0
- Python: 3.10.12
- Task
- Text Classification
- Library
- bertopic
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024