Instructions to use WindstormLabs/translate-urj-urj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-urj-urj 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-urj-urj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-urj-urj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97a051bfbf01f4c58af4c307e84038e936a79ff66b6a789c313c1b714f87f348
- Size of remote file:
- 816 kB
- SHA256:
- 10233007c136d27eae874a1f6a548ec61e63eea0f8f60d7d27a036bcb3b7bf5e
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