Instructions to use WindyWord/translate-en-rn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-en-rn 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-en-rn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-en-rn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2033713ee21ad046189d992782d3b93776505e9408c2ba54ae351f5e3b03d40d
- Size of remote file:
- 302 kB
- SHA256:
- 36e93f9288fc3f7d4f3848f4d5f6b270311b0fa16949bad02bba70a71e5568ae
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