Instructions to use WindyWord/translate-lua-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-lua-es 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-lua-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-lua-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a39073c01bb1adfb990ba34a46b01db8d85a4505ab8af0fcdd159263f27e503e
- Size of remote file:
- 823 kB
- SHA256:
- cbe7059341233a855bd72e95b2fd84acb711b6acd48f5e46b604af5edbaff378
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