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:
- d1d56a147f076de9af2f36f74bc47ebb2829ac4bb91f9d090342b12d09afee32
- Size of remote file:
- 78.4 MB
- SHA256:
- 135b979ea6a9f727f30cf049cd1caa941dc8d1620d6d6532e0dfe93d2af0c727
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.