Instructions to use WindstormLabs/translate-bcl-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-bcl-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-bcl-es")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-bcl-es", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e909400cd3dd7c0bfb0eb05a1de126fc891d153532ce909463896808165388c
- Size of remote file:
- 850 kB
- SHA256:
- 34599a43558ac38d531fe06240d0769a56c6bef4e5ea74212a0645402053a205
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.