gtr-t5-base

3.3M
26
512
Small context
1 language
FP16
—
by
sentence-transformers
Embedding Model
PYTORCH
High
3.3M downloads
Battle-tested
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Quick Summary

--- language: en license: apache-2.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by gtr-t5-base 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

View All Datasets

Code Examples

Usage (Sentence-Transformers)text
pip install -U sentence-transformers
python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('sentence-transformers/gtr-t5-base')
embeddings = model.encode(sentences)
print(embeddings)

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