Instructions to use WindstormLabs/translate-en-fj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-fj 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-fj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-fj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fd6f42bdd45836838bfb37540cb707238a4e193718633abf988c4c3293c6eb8
- Size of remote file:
- 820 kB
- SHA256:
- 76596d0a4ab7f5986a4ef2b47763129745efde1cb673efc2844948b65542849d
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