Instructions to use WindyWord/translate-de-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-de-ca 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-de-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-de-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6322fc6ee0d788709b5428a13a81872856e6fdf1bb0c5574c98b63e501d479b
- Size of remote file:
- 451 kB
- SHA256:
- cd78b952281cb6e79fb11283c28dafe71b520bf001ab8d53de5d2f6f7f5fb16c
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