Text-summarization-on-Reddit-posts-using-t5-small

5
—
by
AventIQ-AI
Other
OTHER
New
5 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary

t5-small Quantized Model for Text Summarization on Reddit-TIFU dataset This repository hosts a quantized version of the t5-small model, fine-tuned for text sum...

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by Text-summarization-on-Reddit-posts-using-t5-small 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

Installationbash
pip install datasets transformers rouge-score evaluate
Installationbash
pip install datasets transformers rouge-score evaluate
Installationbash
pip install datasets transformers rouge-score evaluate
Installationbash
pip install datasets transformers rouge-score evaluate
Quantizationpython
.
├── quantized-model/               # Contains the quantized model files
│   ├── config.json
│   ├── model.safetensors
│   ├── tokenizer_config.json
│   ├── spiece.model
│   └── special_tokens_map.json
│   ├── generation_config.jason
│   └── tokenizer.json

├── README.md                      # Model documentation
Quantizationpython
.
├── quantized-model/               # Contains the quantized model files
│   ├── config.json
│   ├── model.safetensors
│   ├── tokenizer_config.json
│   ├── spiece.model
│   └── special_tokens_map.json
│   ├── generation_config.jason
│   └── tokenizer.json

├── README.md                      # Model documentation
Quantizationpython
.
├── quantized-model/               # Contains the quantized model files
│   ├── config.json
│   ├── model.safetensors
│   ├── tokenizer_config.json
│   ├── spiece.model
│   └── special_tokens_map.json
│   ├── generation_config.jason
│   └── tokenizer.json

├── README.md                      # Model documentation
Quantizationpython
.
├── quantized-model/               # Contains the quantized model files
│   ├── config.json
│   ├── model.safetensors
│   ├── tokenizer_config.json
│   ├── spiece.model
│   └── special_tokens_map.json
│   ├── generation_config.jason
│   └── tokenizer.json

├── README.md                      # Model documentation

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.