Instructions to use WindstormLabs/translate-fi-swc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-swc 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-swc")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-swc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3afbbb9fa222487847caa60090f0f5d1dc63a00ab0bd8c197fc9ef1c7f458b49
- Size of remote file:
- 872 kB
- SHA256:
- 81d56e0ba43d65dff12c01f15f32d23b68caf37e23aa6d55ddafcda97d9f83ce
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