Instructions to use WindstormLabs/translate-en-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-he 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-en-he")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-he", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 725f05c8b4ae86650e4f1d016cabe561a9d7314d5bd3105afcfdb0ea6e58b8f7
- Size of remote file:
- 890 kB
- SHA256:
- fc2027ba8b1dfda75e44d91c87d203551731c56872c12b0af9b7e1b5de6cd69d
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