Instructions to use WindyWord/translate-pon-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-pon-sv 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="WindyWord/translate-pon-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-pon-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_id": "windy-pair-pon-sv", | |
| "doctor": "herm0", | |
| "procedure": "ebible_finetune_v3", | |
| "timestamp": "2026-03-28T04:18:17.245165+00:00", | |
| "data_source": "ebible.org", | |
| "training_pairs": 25000, | |
| "base_loss": 8.406260924339295, | |
| "ft_loss": 3.543323584198952, | |
| "improvement_pct": 57.848993552654385, | |
| "epochs": 1, | |
| "learning_rate": 2e-05, | |
| "batch_size": 16, | |
| "max_length": 128 | |
| } |