Instructions to use WindstormLabs/translate-es-is with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-is 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-is")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-is", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a0790193a8ace2e8cd3b52550f7cb42f7e06d81d44cb6e159f00317daac592c
- Size of remote file:
- 77.1 MB
- SHA256:
- 3b825e458296cd7064427fd76989911b99659d3b07e59356820c77dc36f91524
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.