How to use JohanHeinsen/PE_efterlyst_classifier_v2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JohanHeinsen/PE_efterlyst_classifier_v2") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds)
How to use JohanHeinsen/PE_efterlyst_classifier_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JohanHeinsen/PE_efterlyst_classifier_v2") 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]
https://huggingface.co/JohanHeinsen/PE_efterlyst_classifier_v2/resolve/a6d68fd47a005e8e9234195017ccaefac9b0398f/sentence_bert_config.json
hf download hf://JohanHeinsen/PE_efterlyst_classifier_v2@a6d68fd47a005e8e9234195017ccaefac9b0398f/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/JohanHeinsen/PE_efterlyst_classifier_v2/resolve/a6d68fd47a005e8e9234195017ccaefac9b0398f/sentence_bert_config.json
