Instructions to use WindstormLabs/translate-ilo-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ilo-sv 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-ilo-sv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ilo-sv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79aa26cb3b22a5c555da0e7269b138ce0d5f122673028ccf854dab96eee848f9
- Size of remote file:
- 76.7 MB
- SHA256:
- 2ca7f0b393e67eca29c6ff365218659c0766e19974d6135c3e3490adf186a4f4
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