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MARTINI_enrich_BERTopic_returnofthesacred
AIDA-UPM/MARTINI_enrich_BERTopic_returnofthesacred
MARTINI_enrich_BERTopic_returnofthesacred 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
- 86632dab
Try a prompt
Model card
From the Hugging Face model README
MARTINI_enrich_BERTopic_returnofthesacred
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_returnofthesacred")
topic_model.get_topic_info()
Topic overview
- Number of topics: 10
- Number of training documents: 1098
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | humanity - become - sun - years - mercola | 24 | -1_humanity_become_sun_years |
| 0 | monday - meme - moments - loves - blessing | 666 | 0_monday_meme_moments_loves |
| 1 | vaers - vaccinated - deaths - injections - 2021 | 71 | 1_vaers_vaccinated_deaths_injections |
| 2 | fireweed - schisandra - herbal - mullein - tincture | 71 | 2_fireweed_schisandra_herbal_mullein |
| 3 | spiritually - consciousness - negentropy - energeticsynthesis - become | 52 | 3_spiritually_consciousness_negentropy_energeticsynthesis |
| 4 | dawn - darkness - becoming - whispers - bright | 50 | 4_dawn_darkness_becoming_whispers |
| 5 | vaccinations - unvaccinated - exemptions - mandatory - employers | 49 | 5_vaccinations_unvaccinated_exemptions_mandatory |
| 6 | solstice - capricorn - january - chiron - rebirth | 48 | 6_solstice_capricorn_january_chiron |
| 7 | prayers - mercy - sanctity - responders - heroic | 40 | 7_prayers_mercy_sanctity_responders |
| 8 | agrihood - sovereignty - empowering - gmo - mufi | 27 | 8_agrihood_sovereignty_empowering_gmo |
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