Instructions to use WindyWord/translate-fi-lua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fi-lua 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-lua")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fi-lua", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1dd5b7cfdd071afab3a9f76471bdcac67bcaf08877d6f25397b13821e1f3143b
- Size of remote file:
- 77.9 MB
- SHA256:
- 7d4266b45ab81da5d72aa33a8375a5fe8e37106b2b5cd7c57cb45b955810b497
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