Instructions to use WindstormLabs/translate-es-hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-hr 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-hr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-hr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55d5cb64488d5e1dba270d773387e347109c5a950afba4aa9660dca1d65bc73a
- Size of remote file:
- 814 kB
- SHA256:
- 43d7ce8625d9e9cd5077a9dc6999b7694bb32aa2c3b709d6b7b61f80997effd1
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