metadata
license: mit
datasets:
- Bretagne/ofis_publik_br-fr
- Bretagne/OpenSubtitles_br_fr
language:
- fr
- br
base_model:
- facebook/m2m100_418M
pipeline_tag: translation
library_name: transformers
Gallek
- A French -> Breton Translation Model called Gallek (meaning "French" in Breton).
- The current model version reached a BLEU score of 40 on a 20% split of the training set.
- Only monodirectionally fr->br fine-tuned for now.
- Training details available on the GweLLM Github repository.
Sample test code:
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
modelcard = "amurienne/gallek-m2m100"
model = AutoModelForSeq2SeqLM.from_pretrained(modelcard)
tokenizer = AutoTokenizer.from_pretrained(modelcard)
translation_pipeline = pipeline("translation", model=model, tokenizer=tokenizer, src_lang='fr', tgt_lang='br', max_length=512, device="cpu")
french_text = "traduis de français en breton: j'apprends le breton à l'école."
result = translation_pipeline(french_text)
print(result[0]['translation_text'])
Demo is available on the Gallek Space