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:
- c7522cb15abed7833f2c3a4ae3ff8492b1da590e6076059c692e5729423803ac
- Size of remote file:
- 799 kB
- SHA256:
- d390d1e87cfdc0f22eeb61aa787992cd4d622bbf8f5b9ae53eef3e9fda478967
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