Instructions to use WindstormLabs/translate-ml-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ml-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-ml-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ml-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65ed1396784dce98455ee15db21ed987037691703b3d6372139fe9dcd4788097
- Size of remote file:
- 818 kB
- SHA256:
- d69c17d092147f1fa500ea64889e0f5959ffffe894c65b06918702bdeb65da80
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