Instructions to use WindstormLabs/translate-en-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-sm 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-sm")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-sm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a8d03edd57b6d5ee5d72bfe58d7523a0eb826357554578946d02f5b2889ecb8
- Size of remote file:
- 820 kB
- SHA256:
- a01bb2cde74927fafcee5ae464c96ec5680c365fa5b374a429f5c6234d7df1c6
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