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:
- ef392b1b6416bf74c35af95e85e2548e517bc953a3da3c6fa9166b23de70b7bb
- Size of remote file:
- 306 kB
- SHA256:
- af9b16542e7e5aa9e0127a95ac08cfc0973510a94dd774686902def855c92988
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