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MARTINI_enrich_BERTopic_CI_Lib
AIDA-UPM/MARTINI_enrich_BERTopic_CI_Lib
MARTINI_enrich_BERTopic_CI_Lib is a text classification model from AIDA-UPM. 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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At a glance
- Task
- Text Classification
- Library
- bertopic
- Access
- Public
- Created
- Jan 13, 2025
- Updated
- Jan 13, 2025
- SHA
- 9b9b1ab6
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Model card
From the Hugging Face model README
MARTINI_enrich_BERTopic_CI_Lib
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("AIDA-UPM/MARTINI_enrich_BERTopic_CI_Lib")
topic_model.get_topic_info()
Topic overview
- Number of topics: 7
- Number of training documents: 419
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | 1855 - 152 - 95 - lines - 139 | 22 | -1_1855_152_95_lines |
| 0 | patrologiæ - volumes - preface - 161 - scanned | 71 | 0_patrologiæ_volumes_preface_161 |
| 1 | 218 - 185 - 198 - 81 - 155 | 169 | 1_218_185_198_81 |
| 2 | 1855 - 165 - 186 - 206 - 56 | 62 | 2_1855_165_186_206 |
| 3 | 217 - 1855 - 157 - 197 - 57 | 37 | 3_217_1855_157_197 |
| 4 | israelites - hamites - japhethites - miscegenation - simeon | 30 | 4_israelites_hamites_japhethites_miscegenation |
| 5 | 215 - 205 - 210 - 204 - 25 | 28 | 5_215_205_210_204 |
Training hyperparameters
- calculate_probabilities: True
- 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: 1.26.4
- HDBSCAN: 0.8.40
- UMAP: 0.5.7
- Pandas: 2.2.3
- Scikit-Learn: 1.5.2
- Sentence-transformers: 3.3.1
- Transformers: 4.46.3
- Numba: 0.60.0
- Plotly: 5.24.1
- Python: 3.10.12
- Task
- Text Classification
- Library
- bertopic
- Created
- Jan 13, 2025
- Updated
- Jan 13, 2025