BERTopic_astrosenmovimiento
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("sdantonio/BERTopic_astrosenmovimiento")
topic_model.get_topic_info()
Topic overview
- Number of topics: 6
- Number of training documents: 404
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | inenarrable - queridas - encuadrando - reiniciar - encapsulan | 16 | -1_inenarrable_queridas_encuadrando_reiniciar |
| 0 | genes - tardes - bellas - mercurio - venus | 6 | 0_genes_tardes_bellas_mercurio |
| 1 | adentro - venus - mercurio - escorpio - suen | 151 | 1_adentro_venus_mercurio_escorpio |
| 2 | bellas - venus - eclipse - comparto - pluto | 129 | 2_bellas_venus_eclipse_comparto |
| 3 | bellas - mercurio - escorpio - venus - comparto | 58 | 3_bellas_mercurio_escorpio_venus |
| 4 | historias - lxs - sinergia - bellas - venus | 44 | 4_historias_lxs_sinergia_bellas |
Training hyperparameters
- calculate_probabilities: False
- language: None
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: None
- seed_topic_list: None
- top_n_words: 10
- verbose: False
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.23.5
- HDBSCAN: 0.8.38.post1
- UMAP: 0.5.6
- Pandas: 2.2.2
- Scikit-Learn: 1.5.1
- Sentence-transformers: 3.0.1
- Transformers: 4.44.2
- Numba: 0.60.0
- Plotly: 5.24.0
- Python: 3.10.12
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.