How to use JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds)
How to use JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0") 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/ENO_Runaway_Advertisement_classifier_2.0/resolve/b12525259d11584c161069ce8ad2c52f4b66cc7c/tokenizer.json
hf download hf://JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0@b12525259d11584c161069ce8ad2c52f4b66cc7c/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0/resolve/b12525259d11584c161069ce8ad2c52f4b66cc7c/tokenizer.json
