Instructions to use WindstormLabs/translate-en-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd664ac4aa1e720b8a8929aa2bb7e4165d7bb4e6bfc63dba6906e5b6bed6663
- Size of remote file:
- 76.5 MB
- SHA256:
- c242897a6f66d29ce2d378d09752a2fb1b8609dbf099685c4fa329a3ec604f52
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