Instructions to use WindstormLabs/translate-es-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-es-ru 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-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-es-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af59346542bfe00ce6dcd599cc4c8dade873594b0989aa64b1bfc43f04a234d2
- Size of remote file:
- 78.8 MB
- SHA256:
- b70936cf76b8c5a6b8de5e47533d9eb2781177efd4bebbaa8c13a0cda9c0e5f3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.