Gallek M2m100

🚀 Gallek

• Gallek is a French -> Breton translation model (the word "Gallek" means "French" in Breton).
• After 10 epochs of training on a 20% split of the training set, the current model version achieved a BLEU score of 50.
• Currently, it is only fine - tuned in the monodirectional fr->br direction.
• Training details can be found on the GweLLM Github repository.

🚀 Quick Start

Prerequisites

• The model is based on the transformers library.

Installation

The installation of the transformers library is required. You can use the following command to install it:

pip install transformers

✨ Features

• High - Quality Translation: Achieved a BLEU score of 50 on the training set.
• Monodirectional Fine - Tuning: Specifically fine - tuned for French to Breton translation.

📦 Installation

To use this model, you need to install the transformers library. You can use the following command:

pip install transformers

💻 Usage Examples

Basic Usage

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'])

Advanced Usage

You can adjust parameters such as max_length and device according to your needs. For example, if you have a GPU, you can set device = 0 to use the GPU for faster translation.

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=1024, device=0)

french_text = "traduis de français en breton: j'apprends le breton à l'école."

result = translation_pipeline(french_text)
print(result[0]['translation_text'])

📚 Documentation

• Demo: You can try the model on the Gallek Space.
• Training Details: More training details are available on the GweLLM Github repository.

📄 License

This project is licensed under the MIT License.