Instructions to use WindyWord/translate-xh-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-xh-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-xh-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-xh-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b174a12220bdc3cbd7da345f4f2af3d2a74608af4f765b11e4b598affcf7fb9c
- Size of remote file:
- 814 kB
- SHA256:
- 7583f4e0e494a5ca26c637e63489641a46ff8e18f4b87c61d65ee666c6fca727
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