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:
- 0ac3587628acfe8f6c8af9c38b37b4d8fbb7dec8d941e74d53ae2e88ffe8a8e6
- Size of remote file:
- 76.8 MB
- SHA256:
- 97236395e50c53f79c81c9f7266d40efb82c0bfd836a1dfa00ca4db67336942e
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