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close-hdscan-april3
Thang203/close-hdscan-april3
close-hdscan-april3 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.
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2.8 MB
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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024
- SHA
- 620936f2
Try a prompt
Model card
From the Hugging Face model README
close-hdscan-april3
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/close-hdscan-april3")
topic_model.get_topic_info()
Topic overview
- Number of topics: 11
- Number of training documents: 5027
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | models - language - llms - language models - large | 11 | -1_models_language_llms_language models |
| 0 | models - language - llms - language models - large | 1484 | 0_models_language_llms_language models |
| 1 | chatgpt - models - ai - language - llms | 2023 | 1_chatgpt_models_ai_language |
| 2 | visual - models - multimodal - image - graph | 589 | 2_visual_models_multimodal_image |
| 3 | llms - attacks - attack - models - adversarial | 317 | 3_llms_attacks_attack_models |
| 4 | code - generation - code generation - software - models | 273 | 4_code_generation_code generation_software |
| 5 | design - creative - ai - ideas - music | 229 | 5_design_creative_ai_ideas |
| 6 | robot - dialogue - round - robots - preliminary | 60 | 6_robot_dialogue_round_robots |
| 7 | causal - causality - causal reasoning - llms - causal inference | 15 | 7_causal_causality_causal reasoning_llms |
| 8 | astronomy - scientific - data - knowledge - generative | 14 | 8_astronomy_scientific_data_knowledge |
| 9 | urban - traffic - foundation models - foundation - transportation | 12 | 9_urban_traffic_foundation models_foundation |
Training hyperparameters
- calculate_probabilities: False
- language: english
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: 11
- 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: 0.5.6
- Pandas: 2.0.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 2.6.1
- Transformers: 4.38.2
- Numba: 0.58.1
- Plotly: 5.15.0
- Python: 3.10.12
- Task
- Text Classification
- Library
- bertopic
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024