Instructions to use WindstormLabs/translate-eo-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-en 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-eo-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f51dc5230296bb0ea52ff9ecd2e7340a2397ec467be306a329c5757c47b3d63
- Size of remote file:
- 76.5 MB
- SHA256:
- b909ee7c62b822404a0021f98daa9ac6b2f28ff7aa3274a02f1bcf85c9474fe1
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