Instructions to use WindstormLabs/translate-es-fj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-fj")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-fj", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 781667b891c3422e32c2c23188e9d89c18d27bf6f1cbcfc5dcf794a4497a8bc5
- Size of remote file:
- 846 kB
- SHA256:
- ead036734ac92a2ed3875b11bb17434924962e40a9cfd96dd7e4ba12bcfd1b94
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