File size: 2,470 Bytes
b928935 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
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
|