Instructions to use WindstormLabs/translate-es-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-eo 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-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc632478cd11ac708d6f1dd7e7e92c24b473da50abeaff831f265b5d78c02dfe
- Size of remote file:
- 76.1 MB
- SHA256:
- 8e28fa7768da7a34ae8bbff85b1bc0f7eb94ea472ac61c3107c1e5ba8012c89f
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