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:
- 1ab5feceaa9685acc9f8fba745672969e7f3511d3cf4007a7f6e4cb7bab8da42
- Size of remote file:
- 70.5 MB
- SHA256:
- 993b0d15401c013b59207ad3e5d4a1593b32b069d9f56535121cec0b4917a73b
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