Instructions to use WindstormLabs/translate-fi-bem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-bem 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-bem")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-bem", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8c86deeb5fdef5cdc862ac5bebb21718f03130802ddd9c987d8a59dfe3dcfe2
- Size of remote file:
- 832 kB
- SHA256:
- 509b06a0817f611d3de4dc1810ce90e69a907f6c7a675e050531ed18d8a96bba
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