Instructions to use WindstormLabs/translate-eo-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-eo-da 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-da")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-eo-da", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1eb27e1eb7939d3a44889575c49a342056ea353fd3247897c5742186fdbeeefc
- Size of remote file:
- 192 MB
- SHA256:
- f391bfa6a6e2ea046c0852ae8b51fee54b2924e17c558874a3f875e49228332d
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