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:
- fe6a166bddb0cc88a03f6033cfa46d213ce58a51d6861dc33ba0537be593072a
- Size of remote file:
- 830 kB
- SHA256:
- f6f7e2ce3ef513f2d62ea802be1dcc4c6566d616ac3ee4e685a9722483b823c3
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