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:
- de428009e3028fa5d2f02c33015f4e8f6378e86965f7f1b4abb7dce22902bcbb
- Size of remote file:
- 77.9 MB
- SHA256:
- 7343a08219dfe11b1b9dd9b2acfaeeb0ea56b352ded5e6f93088e8384cfae1be
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