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:
- 93874b44cfa3c7cc85453a7d340e410247efcd2a8a3eda9d74451e984656b283
- Size of remote file:
- 821 kB
- SHA256:
- 4fc71dc7cdbe6902cccadb6a7f056961e4684ec4363d32d947b1b9bf7312a4cb
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