Instructions to use WindstormLabs/translate-es-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-pl 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-pl")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77b65ecd07cca0e78832c3bcfd1f46af0544d4e47ca6abd2d10be794aee4351c
- Size of remote file:
- 76.8 MB
- SHA256:
- 24b89a9fcc860f3ba509d4ebfcc6b0ac69dbfc48658cb8a5e1c9b4ceeb2448e3
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