Instructions to use WindstormLabs/translate-fi-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-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="WindstormLabs/translate-fi-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d12eb1a0f0c5bcf2ffa9c76ed97c4779d34396a1d4ad6d86c367d33b015c1874
- Size of remote file:
- 76.8 MB
- SHA256:
- ed283953e2c5eea30771498b8bf8ef76f2720dad2788e4d7afe65f67d9f7651f
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