myt5-large-SD-prompts

10
1 language
license:mit
by
Nekochu
Language Model
OTHER
New
10 downloads
Early-stage
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Quick Summary

from transformers import AutoModelForSeq2SeqLM , AutoTokenizer model = AutoModelForSeq2SeqLM .

Training Data Analysis

šŸ”µ Good (6.0/10)

Researched training datasets used by myt5-large-SD-prompts with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

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

Explore our comprehensive training dataset analysis

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