Instructions to use WindstormLabs/translate-ja-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-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-ja-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47ffe30ba1f492725828b3f772cac60170faa644bc2b60ba2f84653c515788b5
- Size of remote file:
- 798 kB
- SHA256:
- ea5e94514cc864e592a37f51268629e4b44fc9900ed01c2c9674af4f067fc5b0
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