Instructions to use WindstormLabs/translate-he-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-he-it 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-he-it")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-he-it", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6e720476bb97b1f68bfefcbfd00f26c5e6870c268b8521dca1ed9c954fda619
- Size of remote file:
- 78.6 MB
- SHA256:
- 02f2a318fb29af1211a3f532b8d3bb8a23afe3feb66372ebf03e214eae672132
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