Instructions to use WindstormLabs/translate-fi-bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-bcl 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-bcl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-bcl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 131315d0cab48209e151243e93f9b08659db5e050423e2e6a29cd018fab7bc31
- Size of remote file:
- 887 kB
- SHA256:
- e700c3000c02e04d68aba604cffff599b5c6495d9a1a93f7df6ee045c3a2d9b5
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