Instructions to use WindstormLabs/translate-en-sw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-sw 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-sw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 035ce456248147d3e7f84d4d269654b4ed5f9f887907933d3af005b3a6914d1b
- Size of remote file:
- 76.4 MB
- SHA256:
- e5ba9cc034a165625db3cb7bdd4d9400237e91157464f9cb017b54ec6a8165f1
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