Instructions to use WindstormLabs/translate-hr-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-hr-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-hr-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-hr-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e6e35949d91983c66d9b387667a74afecb7ab8ab019daf8779f6deffbe695a7
- Size of remote file:
- 76.3 MB
- SHA256:
- 30070f2c8afce2afd514ab0f37e128b9b7adbd59e5dbce5028326739c94d7704
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