Instructions to use WindstormLabs/translate-it-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-it-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-it-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-it-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85e9309ef87fb1d1acf8f9126702f54dc0b31dd362296e53586399d8356475a9
- Size of remote file:
- 448 kB
- SHA256:
- b2a2940bbd54310edc088a0ed66edcdc0f6ec69969cc32cc623fd25616b7daca
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