Instructions to use WindstormLabs/translate-fi-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-fi-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-fi-ru")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-fi-ru", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47156ca4fc01c41ac1a18fb82015c6783789bbfbb8c99afca1ce1f00d68bbc9b
- Size of remote file:
- 1.01 MB
- SHA256:
- bbcd460aed85bdbf7311e846d24c65fe90be9d1fe43bd6d90b5d64fe13e204d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.