Instructions to use WindyWord/translate-ho-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ho-en 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-ho-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ho-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f1891b8c624d1e8e4275d3f96ae38b132dbf96cc4f3ab3b66ab390218805bf6
- Size of remote file:
- 808 kB
- SHA256:
- daa7be281a0862e46487dab13b8e44876d1a4a43b7da7c6db0de7cba1bf2065d
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