Instructions to use WindstormLabs/translate-en-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-fi 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="WindstormLabs/translate-en-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 391 Bytes
40827b8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_id": "windy-pair-en-fi",
"doctor": "herm0",
"procedure": "ebible_finetune_v3",
"timestamp": "2026-03-28T02:51:58.575042+00:00",
"data_source": "ebible.org",
"training_pairs": 7600,
"base_loss": 10.900334594249726,
"ft_loss": 2.989905820786953,
"improvement_pct": 72.57051336420238,
"epochs": 1,
"learning_rate": 2e-05,
"batch_size": 16,
"max_length": 128
} |