Instructions to use WindstormLabs/translate-es-rw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-rw 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="WindstormLabs/translate-es-rw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-rw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9555f13232b34af548670754851e34ee3e006d42cfe158ed80635c80645eceed
- Size of remote file:
- 77.6 MB
- SHA256:
- 3b7b361e1c2a2d29c7879b8ab63620848b529903692969e396376e6a23eab8d7
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