Instructions to use WindyWord/translate-fi-run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-run 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-run")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-run", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 691f437f9e3c7ce10d048b6cc815a7d530603190a60d49da66c3064cd6bf36f9
- Size of remote file:
- 78 MB
- SHA256:
- ca17a0b950e4b510a0f66bc8fd0c041cb60ccc74858a3dcadffd6d80540eb2e6
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