Instructions to use WindyTranslate/translate-af-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-af-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="WindyTranslate/translate-af-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyTranslate/translate-af-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b82862d17e7497d19b38f9a984b6cafe32f96195707e94c36a02088c77d8fa4
- Size of remote file:
- 301 MB
- SHA256:
- da7d2b54bdc7c2c5d879399a8099f5333cd4d8179920671ad838d1950a4c0298
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