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:
- 6eaff8e14d543ee9784d626162a7b7cd8995b9f86f4e581edacf7be33989bfa9
- Size of remote file:
- 675 kB
- SHA256:
- 84eb75aaf551362b6ac9cfc37d3653eea0b308027eef488bff4191da5f27adf5
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