How to use frozi/setfit-ethos-multilabel-example with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("frozi/setfit-ethos-multilabel-example") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use frozi/setfit-ethos-multilabel-example with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("frozi/setfit-ethos-multilabel-example") model = AutoModelForMultimodalLM.from_pretrained("frozi/setfit-ethos-multilabel-example")
