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open-mar11Top10
Thang203/open-mar11Top10
open-mar11Top10 is a text classification model from Thang203. 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
- Mar 26, 2024
- Updated
- Mar 26, 2024
- SHA
- f545214b
Try a prompt
Model card
From the Hugging Face model README
open-mar11Top10
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("Thang203/open-mar11Top10")
topic_model.get_topic_info()
Topic overview
- Number of topics: 10
- Number of training documents: 2109
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | models - language - model - language models - llms | 11 | -1_models_language_model_language models |
| 0 | models - language - model - llms - language models | 597 | 0_models_language_model_llms |
| 1 | models - quantization - language - training - model | 1001 | 1_models_quantization_language_training |
| 2 | models - attacks - llms - language - text | 222 | 2_models_attacks_llms_language |
| 3 | bias - biases - gender - models - language | 164 | 3_bias_biases_gender_models |
| 4 | music - poetry - generation - poems - model | 45 | 4_music_poetry_generation_poems |
| 5 | hallucinations - hallucination - models - large - language models | 23 | 5_hallucinations_hallucination_models_large |
| 6 | claim - legal - claims - generation - based | 20 | 6_claim_legal_claims_generation |
| 7 | financial - analysis - chinese - financial domain - language | 14 | 7_financial_analysis_chinese_financial domain |
| 8 | summarization - summaries - abstractive - abstractive summarization - summary | 12 | 8_summarization_summaries_abstractive_abstractive summarization |
Training hyperparameters
- calculate_probabilities: False
- language: english
- low_memory: False
- min_topic_size: 10
- n_gram_range: (1, 1)
- nr_topics: 10
- seed_topic_list: None
- top_n_words: 10
- verbose: True
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.25.2
- HDBSCAN: 0.8.33
- UMAP: 0.5.5
- 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
- Task
- Text Classification
- Library
- bertopic
- Created
- Mar 26, 2024
- Updated
- Mar 26, 2024