Instructions to use WindstormLabs/translate-mg-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-mg-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="WindstormLabs/translate-mg-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-mg-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04d3223511db1670bde97134f0a3023c58c4a997521f866510b099111d48ed4c
- Size of remote file:
- 796 kB
- SHA256:
- b3c9969a740c0bbbb06b2c793a40f9e6c4b56025e669f4b53724be401a3b0d8d
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