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:
- a670b24ceb8be1696b28f6e83647744de093a610d5376d68482c5bec06d2ecb3
- Size of remote file:
- 67.8 MB
- SHA256:
- aa73482b35a3b12be1b0c79f3e8951040dc2b9f30f64272bed5f2420d44fa4c9
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