Instructions to use WindyWord/translate-fi-yo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-yo 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-yo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-yo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4ca0356577b259b8caac8d73b7f77df002b07835cbf1ea90fad02e664f48ab1
- Size of remote file:
- 302 MB
- SHA256:
- 4a3f97c78a850c0770da10036dee6089cda50844ade3528ef874b7c87d083e95
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