Instructions to use WindstormLabs/translate-bem-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bem-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-bem-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bem-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef9b49f96aed0e7be1e809a676f60fb043d16a4157fbe14ed82d7d09d81b9d0c
- Size of remote file:
- 77.9 MB
- SHA256:
- a6663a455096178c5fa7a88583a5dc0c1aa9754d74b420acbfa6c35e674e92a8
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