Instructions to use WindstormLabs/translate-es-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-he")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-he", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ed2c258696c760bc22b02b49cdb8b1eb498afb90332a066dfc828ca1bd855c8
- Size of remote file:
- 821 kB
- SHA256:
- 92e4c6b34ecb3b460c616e5d5c19124906367ec5c8bb9ccfbbb980757f1cfcad
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