Instructions to use WindstormLabs/translate-lv-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-lv-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-lv-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-lv-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d24203a01320ef16cfd5c6d7edbe70d0644fafbd54a4138407370045d0c98e5c
- Size of remote file:
- 838 kB
- SHA256:
- 46ee7c6a2375d3553954843443170cd662fcbe59557604d6b8b9199308673cc0
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