Instructions to use strapp/all-mpnet-base-v2-problems-825 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use strapp/all-mpnet-base-v2-problems-825 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("strapp/all-mpnet-base-v2-problems-825") 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] - setfit
How to use strapp/all-mpnet-base-v2-problems-825 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("strapp/all-mpnet-base-v2-problems-825") - Notebooks
- Google Colab
- Kaggle