Instructions to use sentence-transformers/merged-mpnet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/merged-mpnet-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/merged-mpnet-base") 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] - Notebooks
- Google Colab
- Kaggle
Download 2_Normalize/config.json from sentence-transformers/merged-mpnet-base: direct link, hf CLI and curl.
- Browser
- Download file 100 Bytes
-
https://huggingface.co/sentence-transformers/merged-mpnet-base/resolve/main/2_Normalize/config.json
- Command line
-
hf download hf://sentence-transformers/merged-mpnet-base/2_Normalize/config.json
-
curl -L -o config.json https://huggingface.co/sentence-transformers/merged-mpnet-base/resolve/main/2_Normalize/config.json
100 Bytes
| { | |
| "module_input_name": "sentence_embedding", | |
| "module_output_name": "sentence_embedding" | |
| } |