Instructions to use WindstormLabs/translate-lt-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lt-tr 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-tr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lt-tr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e19154d62e1a64dc52ace1ee7b63b4e63c860606989a0c7fbb3b14513a89bbcc
- Size of remote file:
- 77.7 MB
- SHA256:
- d5d2566454ce555c84bfdd1048be5c9e8d038c9fb039976c43490cc977b6b26c
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