Instructions to use WindyWord/translate-fi-ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-ve 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="WindyWord/translate-fi-ve")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-ve", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b634fe40ae82c55afd52ca74ac8c2a25bd801274c3743174419d7d807d5267b
- Size of remote file:
- 738 kB
- SHA256:
- 9a0520e7588809550bb9f0e7c7a3e5a2b7f764793f59db2c7a849273171a09ca
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