Instructions to use WindstormLabs/translate-is-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-is-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-is-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-is-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7c0cff0f7b3c48952d89b4446b2312042bb867f73cc169341effa111e17cfab
- Size of remote file:
- 77.1 MB
- SHA256:
- 6b35994dd6b0a937002bd78ce22839ed16c2143597e7e16b255d29ecb4acd4a7
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