mt5-small-tamil-tts

1
license:apache-2.0
by
sharvesh007
Audio Model
OTHER
New
0 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 mt5-small-tamil-tts 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

NOW cast to bf16pythontransformers
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("sharvesh007/mt5-small-tamil-tts")
model = AutoModelForSeq2SeqLM.from_pretrained("sharvesh007/mt5-small-tamil-tts")
ids = tokenizer.encode("வணக்கம்", add_special_tokens=False)
print(f"IDs: {ids}, max: {max(ids)}")

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