Instructions to use WindstormLabs/translate-ilo-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ilo-en 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-en")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ilo-en", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32a1b44856569eaf75886e3371a6356d7f5ef6c20cab492ff236918e88789c4b
- Size of remote file:
- 457 kB
- SHA256:
- 57526805395c2b34fcba3ec78149f64c47945a0be3c9969649e7b49e31d1d1e7
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