Instructions to use WindstormLabs/translate-fi-lu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-lu 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-fi-lu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-lu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b5b370ffbae091bfba27e4fe0128c52e7682ceae0483748937bb39a3d750520
- Size of remote file:
- 894 kB
- SHA256:
- 716110f793db78d163582f7c529e7bf3d042db6182ba8653dd9c2a591550ca9d
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