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:
- e861e4f41403a68cd5fbe46567c99fce26bb8741c719ef8d5434b5842f56da6a
- Size of remote file:
- 78.6 MB
- SHA256:
- e76babb9f0c9448b1164d590d85d05aa1945ba49c08641412fa8e9a94ce3afc9
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