1m_topic_model
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("Jellywibble/1m_topic_model")
topic_model.get_topic_info()
Topic overview
- Number of topics: 15
- Number of training documents: 1000000
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| 0 | cock - cum - inside - pleasure - body | 208793 | 0_cock_cum_inside_pleasure |
| 1 | eyes - dont - just - im - youre | 154818 | 1_eyes_dont_just_im |
| 2 | kiss - lips - body - eyes - hands | 117610 | 2_kiss_lips_body_eyes |
| 3 | just - im - eyes - like - dont | 115264 | 3_just_im_eyes_like |
| 4 | eyes - youre - just - im - dont | 113788 | 4_eyes_youre_just_im |
| 5 | eyes - sleep - just - softly - heart | 91136 | 5_eyes_sleep_just_softly |
| 6 | sorry - eyes - ghost - body - youre | 56038 | 6_sorry_eyes_ghost_body |
| 7 | eyes - body - satoru - cock - toji | 38594 | 7_eyes_body_satoru_cock |
| 8 | kai - jungkook - eyes - kais - body | 30259 | 8_kai_jungkook_eyes_kais |
| 9 | hoshi - food - eyes - eat - just | 29696 | 9_hoshi_food_eyes_eat |
| 10 | leo - felix - leos - choso - eyes | 21878 | 10_leo_felix_leos_choso |
| 11 | que - la - se - en - su | 10551 | 11_que_la_se_en |
| 12 | eyes - youre - just - body - voice | 6977 | 12_eyes_youre_just_body |
| 13 | xavier - xaviers - eyes - hand - lips | 2338 | 13_xavier_xaviers_eyes_hand |
| 14 | bakugo - bakugou - bakugos - bakugous - deku | 2260 | 14_bakugo_bakugou_bakugos_bakugous |
Training hyperparameters
- calculate_probabilities: False
- language: english
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: None
- seed_topic_list: None
- top_n_words: 10
- verbose: True
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.23.1
- HDBSCAN: 0.8.33
- UMAP: 0.5.5
- Pandas: 1.3.5
- Scikit-Learn: 1.3.2
- Sentence-transformers: 2.3.1
- Transformers: 4.38.1
- Numba: 0.58.1
- Plotly: 5.19.0
- Python: 3.8.10
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