BERTopic-booksum-ngram1-sentence-t5-xl-chapter

8
license:apache-2.0
by
pszemraj
Other
OTHER
New
8 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by BERTopic-booksum-ngram1-sentence-t5-xl-chapter with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

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Code Examples

Usagetext
pip install -U bertopic safetensors
Usagepython
from bertopic import BERTopic
topic_model = BERTopic.load("pszemraj/BERTopic-booksum-ngram1-sentence-t5-xl-chapter")

topic_model.get_topic_info()

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