Instructions to use WindstormLabs/translate-en-bi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-bi 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-bi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-bi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02a7e0d2294cb4071102f1e4dcf62f3c3761e43124f641901ec0c9a6eda17b13
- Size of remote file:
- 822 kB
- SHA256:
- 23b3d6c5105584404261f380993858d2b74b9e00c4b45174041ec715a7ff7f5c
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