Instructions to use WindstormLabs/translate-lt-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-pl 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-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 514f3dd6f814da11b964b37893612d653520f07e749287f5a6c3797dd721273d
- Size of remote file:
- 76.6 MB
- SHA256:
- 23e25c201ec2f8b1d35d7b47c8961d2dc24bc1b170ef59daec960de9147ecbee
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