Instructions to use WindyWord/translate-tzo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tzo-es 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-tzo-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tzo-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
0321fce | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_id": "windy-pair-tzo-es",
"doctor": "herm0",
"procedure": "ebible_finetune_v3",
"timestamp": "2026-03-28T04:48:18.536120+00:00",
"data_source": "ebible.org",
"training_pairs": 7940,
"base_loss": 8.601701028347016,
"ft_loss": 4.231830484867096,
"improvement_pct": 50.802399770451856,
"epochs": 1,
"learning_rate": 2e-05,
"batch_size": 16,
"max_length": 128
} |