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
| 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 ! |