Instructions to use WindstormLabs/translate-tr-eo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-tr-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-tr-eo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-tr-eo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85b39d5664fecbbb389ab38eb8fd94046df4536c09102ad92412bc447ff12655
- Size of remote file:
- 305 kB
- SHA256:
- a89bdf5379b5b353db2e224febe4e31e4cd816efd05da90e3d84de61d657ebf5
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