Instructions to use WindyWord/translate-it-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-it-lt 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="WindyWord/translate-it-lt")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-it-lt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9aba44cf9f03f7d53c3f72dad0cd8a7ef7eda4173408be37a8eb0fadc6a5b502
- Size of remote file:
- 824 kB
- SHA256:
- d825945a5775b0e7eb708e24aebe7cc9483598cd0d6e4208fdcb752db716781c
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