Instructions to use WindstormLabs/translate-lg-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lg-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-lg-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lg-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91a05d621a3459765b68f69bf93924939b1952b36d6b15ccbe28222d9b7035c9
- Size of remote file:
- 78.1 MB
- SHA256:
- c6da05ec9a78d2077f70976d639067aecbfe2372a2aa6a3d67ae5addc54421ec
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