Instructions to use WindstormLabs/translate-en-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-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-en-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 055c3bed14646cb8be0575a8ea4c34aca1198a29dee3a9b547f8c7ad113387b9
- Size of remote file:
- 826 kB
- SHA256:
- e236ee6d866b635c0142114f8647f39831f9d92534aa2aad75c942f6a78ad0e3
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