Instructions to use WindstormLabs/translate-lv-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lv-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-lv-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lv-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21b1a6a6b51b4f01cf9f4f2ada32de121a15a9eb8b154b623d829d542960eea5
- Size of remote file:
- 838 kB
- SHA256:
- e7422cbf54a74b026ee2d2eab8726809bcda4cf16441bff5be10c08bb561e038
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