Instructions to use WindstormLabs/translate-eo-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-es 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-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97ac97b28ddfe5e0fc067748861c568e0e711c2db2a69bb9765141a2676a1dbd
- Size of remote file:
- 816 kB
- SHA256:
- 95e59194661e56c32741b04c474d01dc27da52aa2d9c50eec88ef88e4cf3d7cb
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