Instructions to use MrFrijo/LiAPI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrFrijo/LiAPI with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="MrFrijo/LiAPI")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MrFrijo/LiAPI") model = AutoModelForSeq2SeqLM.from_pretrained("MrFrijo/LiAPI") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
language:
- ln
- fr
metrics:
- bleu
base_model:
- Helsinki-NLP/opus-mt-fr-en
pipeline_tag: translation
library_name: transformers
tags:
- traduction
Mon Modèle de Traduction
Ce modèle est conçu pour traduire entre le Français et le Lingala. Utilisez-le avec Transformers !