Instructions to use WindstormLabs/translate-lun-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lun-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-lun-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lun-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f32ccf2bc5b24013b810b0a86e08ca8554746ab38c56919dd458d56737fcf51
- Size of remote file:
- 851 kB
- SHA256:
- 23713db0f73cfa612c0ebec402b6506f7d2e00eee266933567d3b87930e63703
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