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:
- 3c5950994ea58238c75aec70af29becd23d08885a803271bf6279f43afed06cc
- Size of remote file:
- 845 kB
- SHA256:
- cce8fdce481082d0c4214a27d5738e7aa808ba74d0471f889ca7905cedf61348
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