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:
- 0f678a2925a4d2117d0b08d1a3e905cbf480fffd4307f5899260a892b8161423
- Size of remote file:
- 192 MB
- SHA256:
- 2a7a29ce5398e54f159dc515326967e208a7bbac8e45d0be6dc68dbf5e5ec371
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