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:
- cf1abea3e2be3df268cecb71c80a75f249b2cc17f641521df7fcfabfa3b07b76
- Size of remote file:
- 1.36 MB
- SHA256:
- 484947a9c4848294e7298684a13a47da7527f4e3d502ca9d09f6df6cf7dfe351
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