Instructions to use WindstormLabs/translate-lua-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lua-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="WindstormLabs/translate-lua-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lua-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 236941cf3913d0bad4f25e00fe53f6d628b6cd75cf669a0a74127d18c4074a6f
- Size of remote file:
- 77.9 MB
- SHA256:
- e774d4ef20159b00e74001792506d576a5c321600d0bdf9efe4f30595ebb4227
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