---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# general-hdscan-april3

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("Thang203/general-hdscan-april3")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 11
* Number of training documents: 6795

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | 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 |
  
</details>

## 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