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:
- 147f6b7a0b14827095804ff960080482e946353c018fe7eca11bd7e0ef963228
- Size of remote file:
- 76.6 MB
- SHA256:
- 9df9a359c3df18f390f5954b9352292b14e46cc5f156a6692d5799f1b23cc431
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