Instructions to use kvest/swedish-cefr-linear-svm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kvest/swedish-cefr-linear-svm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kvest/swedish-cefr-linear-svm") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| classifier,accuracy,macro_f1 | |
| Linear SVM,0.8666666666666667,0.866349501899374 | |
| Logistic Regression,0.85,0.8475664865488529 | |
| Random Forest,0.8083333333333333,0.8052442139788165 | |
| KNN,0.7083333333333334,0.7039968305925752 | |