Instructions to use WindstormLabs/translate-no-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-no-es 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-no-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-no-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 509f73d7ca7b567b7cfc9a9d28559d602874fd233d660f551be495db92c019fb
- Size of remote file:
- 57.2 MB
- SHA256:
- 0ce9c3967783280a1c06f75b3f8eb1e1a6e05f8a47470364bb4e12cdf51d4a92
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