Instructions to use WindyWord/translate-hil-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-hil-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="WindyWord/translate-hil-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-hil-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b1b4bd7d48c95ca8e41a9f6b7b2c81565090b0535cdbf65bd9fca467a4869f5
- Size of remote file:
- 872 kB
- SHA256:
- 5bca1c2fc1a678a18ae673a6540e0e8a7d27539323f5dad0aa4055fc4e65d39b
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