Instructions to use WindstormLabs/translate-es-pap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-pap 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-pap")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-pap", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ee7cc23d8317f04456e7e7e41c3c2df84d0d263fd00a6b8f3fe6d5b7b0980b6
- Size of remote file:
- 823 kB
- SHA256:
- e6c7488d64141f7999995972dcde900ac0dcd3c6bb3cd4b6d1217d19b34768e3
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