Instructions to use WindstormLabs/translate-en-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ml 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-en-ml")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ml", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c49b7efafe16a71abd238b00a1b3d6a795d6056d0fcda9604753c5764f1b23a1
- Size of remote file:
- 449 kB
- SHA256:
- 9b363702e8ee659ca4b7a33f3b38e3f347beaf8f00a0b515bcafdebbb83fdc7d
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