Instructions to use WindyWord/translate-eo-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-eo-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="WindyWord/translate-eo-he")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-eo-he", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ac915ac8310ee5c08f47d39463ce1e2dd62f85031b96c88c57c355e6d68886
- Size of remote file:
- 49.8 MB
- SHA256:
- 91b6d4cb7504f4d9dcbd1e88d17e069b03bf93b7d1d4471a5c4e2d773d7b9e17
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