Instructions to use WindstormLabs/translate-es-guw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-guw 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-guw")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-guw", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 758b4403abf96bac295ba733a0147a84f058b36280d1bcd3e2b5c1ff80112741
- Size of remote file:
- 846 kB
- SHA256:
- cdd10bdd81958ebdcabe7b202961190c14035041170b71e42865df3ca53a1ebc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.