Instructions to use WindstormLabs/translate-ln-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ln-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-ln-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ln-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1d160aecfa5073b11d9e1d77a3116af9706011fd8bd3275e24aa73914a7336b
- Size of remote file:
- 76.1 MB
- SHA256:
- 6002f3826fc1034700a8a0b689d7bebde22fb6412ca8ed30fe9d4ec81fd6ad6a
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