metadata
license: apache-2.0
language:
- yi
- en
metrics:
- exact_match
- cer
base_model:
- google/byt5-small
- malper/taatiknet
pipeline_tag: text-generation
library_name: transformers
tags:
- yiddish
- transliteration
My ByT5 Fine-Tuned Model
Model description
This is a fine-tuned version of google/byt5-small.
It was trained on my custom dataset for transliterating Yiddish characters to Latin characters.
Intended uses & limitations
- Intended use: transliteration
Training data
Transliterated Wiktionary data and Bible verses were used for model development.
How to use
Load with 🤗 Transformers:
from transformers import pipeline
transliterator = pipeline("text-generation", model="shoowadoo/galkhesnet")
transliterator('Your Yiddish word here')[0]['generated_text']
transliterator("Your Yiddish word here", num_beams=10, num_return_sequences=10, max_length=100)