Instructions to use WindyWord/translate-fi-mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-mos 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-mos")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-mos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f1a2a8277e28672bd0f93fa77f41528532e6be86f2bba987a1c637e6cfb0d28
- Size of remote file:
- 72 MB
- SHA256:
- 3a696b4414c526ee10f02b275a796fe19fa7f5567e5eee7bffb433f0c7350b5c
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