Instructions to use WindstormLabs/translate-es-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-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-es-ca")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 425b54612780e0d8cf532005c08158c8d4b9193019ef0aeb15814a9624dc7412
- Size of remote file:
- 828 kB
- SHA256:
- e2ed341b4908a0f4d26581861fa65cab841ac2fa7a8baf356bdf627f5c715407
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