Instructions to use WindyWord/translate-es-tll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-tll 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-tll")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-tll", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea6128a675c7e13fb2e433fb8ab182823a78d3fbc551fe3cfa672096fa873f69
- Size of remote file:
- 827 kB
- SHA256:
- e3e7d1685079608c3eaeb519bed5d2a963c9283ced5501cc818b972e71df3b66
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