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
- Xet hash:
- 558a51b8615264194ab26e954fa1c843e11b46959a3571b61edbb31adc2dd91b
- Size of remote file:
- 842 kB
- SHA256:
- 1addb756ec0588680d57e8b9cd26c0d004e551053de4bfba4542886e0bb52caf
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