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:
- 9ac839cfccd800c36f6f1f44495a5412db88bbf3d8973174b0ac2ee98db004eb
- Size of remote file:
- 49.7 MB
- SHA256:
- 2d037b68a362a3b281df5f5de9897e65347e08d3ae9678a540c5393df638ec5a
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