HEL-ACH-EN
Model description
MT model translating Acholi to English initialized with weights from opus-mt-luo-en on HuggingFace.
Intended uses & limitations
Machine Translation experiments. Do not use for sensitive tasks.
How to use
# You can include sample code which will be formatted
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Ogayo/Hel-ach-en")
model = AutoModelForSeq2SeqLM.from_pretrained("Ogayo/Hel-ach-en")
Limitations and bias
Trained on Jehovah Witnesses data so contains theirs and Christian views.
Training data
Trained on OPUS JW300 data. Initialized with weights from opus-mt-luo-en
Training procedure
Remove duplicates and rows with no alphabetic characters. Used GPU
Eval results
testset | BLEU |
---|---|
JW300.luo.en | 46.1 |
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.