Instructions to use WindstormLabs/translate-es-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-hil 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-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3953ed27e5b2bab08e025b1fcfb635657b7d4f039eca8c62a1d0437758769210
- Size of remote file:
- 825 kB
- SHA256:
- 8da0020ee8c1d4c8b2f96a5864f8327f28566fa1544304902c5dc50d7d97c47a
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