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:
- 1d907e8764724b0377ae7cc5f2c6bf5b5b178c0bb18e56080aa060dddbfe2f7c
- Size of remote file:
- 49.6 MB
- SHA256:
- 62af293ee3078808a867904e7034d4e7c96cc293089e3ccedb3a0502df8ea242
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