Instructions to use WindstormLabs/translate-lt-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-sv 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-lt-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d24e3f22dfbc0bb13aecca19ace02d28306bddd8b13dbd03ef1ed0272b1cd06
- Size of remote file:
- 818 kB
- SHA256:
- eae207ddb909152408185fcb6dccd17b9586f949381c55caa25dac599df10640
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