Instructions to use WindyWord/translate-fi-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9e17564a522e6cc11776ff303e1aed6535e7b77f6f88e0f431f85026261dcbe
- Size of remote file:
- 77.5 MB
- SHA256:
- 2e70e58b8834fc5114671f106aadb165fad54c7c9ce63df83f1a6250e5a7b40a
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