Instructions to use WindyWord/translate-mh-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-mh-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-mh-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-mh-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db5c2a12a3581e990ed298b65789212caf4e48375a8ced5194d85a1195e04d17
- Size of remote file:
- 808 kB
- SHA256:
- 0933633704b774d842bb228f1978c288cbb1a842cfc6aa8ce111d5a6da0b5d49
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