How to use HasinMDG/mpnet-base-v2-IPTC-L1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HasinMDG/mpnet-base-v2-IPTC-L1") 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]
How to use HasinMDG/mpnet-base-v2-IPTC-L1 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("HasinMDG/mpnet-base-v2-IPTC-L1")
The community tab is the place to discuss and collaborate with the HF community!
