Instructions to use Winst/cross-encoder-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Winst/cross-encoder-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Winst/cross-encoder-ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Winst/cross-encoder-ru") model = AutoModel.from_pretrained("Winst/cross-encoder-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature8634fec -
Update README.md
Verified signatureaa3ffc6 -
Update README.md
Verified signaturebb84293 -
Upload model.pt
Verified signature8e1b09f -
Delete model.ckpt
Verified signatureca8a018 -
Rename model.pt to model.ckpt
Verified signaturece5f4bb -
Upload 6 files
Verified signature53197c7 -
initial commit
Verified signature855cd0b