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general-hdscan-april3
Thang203/general-hdscan-april3
general-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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3.6 MB
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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024
- SHA
- b9289354
Try a prompt
Model card
From the Hugging Face model README
general-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/general-hdscan-april3")
topic_model.get_topic_info()
Topic overview
- Number of topics: 11
- Number of training documents: 6795
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | models - language - llms - language models - model | 12 | -1_models_language_llms_language models |
| 0 | models - language - llms - model - language models | 2197 | 0_models_language_llms_model |
| 1 | models - training - model - language - quantization | 2990 | 1_models_training_model_language |
| 2 | code - generation - code generation - models - llms | 430 | 2_code_generation_code generation_models |
| 3 | attacks - models - llms - adversarial - attack | 330 | 3_attacks_models_llms_adversarial |
| 4 | language - models - agents - llms - human | 328 | 4_language_models_agents_llms |
| 5 | ai - chatgpt - generative - generative ai - chatbots | 234 | 5_ai_chatgpt_generative_generative ai |
| 6 | students - education - chatgpt - ai - physics | 118 | 6_students_education_chatgpt_ai |
| 7 | music - poetry - generation - lyrics - audio | 97 | 7_music_poetry_generation_lyrics |
| 8 | mobile - wireless - devices - generative - network | 44 | 8_mobile_wireless_devices_generative |
| 9 | robot - dialogue - round - robots - preliminary round | 15 | 9_robot_dialogue_round_robots |
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: 1.24.4
- HDBSCAN: 0.8.33
- UMAP: 0.5.6
- Pandas: 1.5.3
- 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