Instructions to use WindstormLabs/translate-lv-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lv-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lv-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0febf245370a8eac807b3f3eff5b4a29138d6a3d2d3011e0506a4c2bc3608c99
- Size of remote file:
- 834 kB
- SHA256:
- 9b9728de21634a97ccb75bc5a9d88d447c1f19cbddcb8bf70e87b7433170ef40
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