Instructions to use WindyWord/translate-hil-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-hil-en 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-hil-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-hil-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
4cd123b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_id": "windy-pair-hil-en",
"doctor": "herm0",
"procedure": "ebible_finetune_v3",
"timestamp": "2026-03-28T03:49:22.409561+00:00",
"data_source": "ebible.org",
"training_pairs": 25000,
"base_loss": 9.727687737941743,
"ft_loss": 3.145752620100975,
"improvement_pct": 67.66186677815197,
"epochs": 1,
"learning_rate": 2e-05,
"batch_size": 16,
"max_length": 128
} |