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:
- 6b5fa415e99cf38c0d446884055eee8f9189f55d69fcb96274639b8ff6daa2f9
- Size of remote file:
- 78.6 MB
- SHA256:
- c12e10842cf08e8f60590b4d1985f1db4b68de88ef4a841710ab10f37a46f1bc
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