Text Classification
setfit
Safetensors
sentence-transformers
Danish
Few-Shot
Transformers
Text-classification
generated_from_setfit_traine
Computational_humanities
SSH
Social-work
Instructions to use CALDISS-AAU/da-reported-speech-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use CALDISS-AAU/da-reported-speech-e5 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("CALDISS-AAU/da-reported-speech-e5") - sentence-transformers
How to use CALDISS-AAU/da-reported-speech-e5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CALDISS-AAU/da-reported-speech-e5") 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