Instructions to use WindyWord/translate-es-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/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="WindyWord/translate-es-hil")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-hil", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14aca1b19abc3c34c5ec9b904cb367356194f7a99c3d765c1e1703280c3375ca
- Size of remote file:
- 76.6 MB
- SHA256:
- 783a3422d9ec17663c7eb39c8ff830d138b2d63f0c7c2242ea4af8ccbc620969
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