Instructions to use WindstormLabs/translate-es-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ar 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-es-ar")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ar", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bba252685eb3613f4aed7ebcc663f8e239e4bdb8c1e84b87746382c6d63f42a
- Size of remote file:
- 923 kB
- SHA256:
- 4b98e4419d5d897decfa74e997483991a971b4162ff4c444484ad9580e29b6e3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.