Instructions to use WindyWord/translate-es-rn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-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-es-rn")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-rn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 281a2ff34a85b960b8e680f564d61c96ed66be19694bd75a8e80bee99df117fd
- Size of remote file:
- 308 kB
- SHA256:
- d22f00693719c386260db0e9cb77c6c26c753f3663c77f95c98651023a361566
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