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:
- 448e2607243d56762ecef9db9e870c0087b99b3b1bfb3b72cc2423020c47a282
- Size of remote file:
- 78.6 MB
- SHA256:
- 2f88a0085c23ac8e06145e12c11654c8d671f50e9bf53bbae03a49ac3f82b27c
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