Instructions to use WindyWord/translate-fi-sg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-sg 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-sg")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-sg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e490de8459b7bb194e2c68f1684244e4d7a53253af1ab6126ac50fa6679c0705
- Size of remote file:
- 890 kB
- SHA256:
- d17eeffbbbd4757daa4fa9c57fb0289e97d646da9241dcd5400738ac2f65b473
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