Instructions to use WindstormLabs/translate-en-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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="WindstormLabs/translate-en-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72838aa8b7fc9d64a8fc883fcdb18cf5ffcc26364d1d3f06574a077b4975cb3a
- Size of remote file:
- 803 kB
- SHA256:
- a89fc5871f11a5e363f6e3a92880c146e9b0158918cb5b8acefb8dcb031229dc
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