Model Details
Full Model IDsentence-transformers/all-mpnet-base-v2
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)33.4M
Likes1.3K
Last Modified8/19/2025
Author / Orgsentence-transformers
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("sentence-similarity", model="sentence-transformers/all-mpnet-base-v2")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
sentence-transformerspytorchonnxsafetensorsopenvinompnetfill-maskfeature-extractionsentence-similaritytransformerstext-embeddings-inferenceendataset:s2orcdataset:flax-sentence-embeddings/stackexchange_xmldataset:ms_marcodataset:gooaqdataset:yahoo_answers_topicsdataset:code_search_netdataset:search_qadataset:eli5dataset:snlidataset:multi_nlidataset:wikihowdataset:natural_questionsdataset:trivia_qadataset:embedding-data/sentence-compressiondataset:embedding-data/flickr30k-captionsdataset:embedding-data/altlexdataset:embedding-data/simple-wikidataset:embedding-data/QQP
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: sentence-similarity
This model is designed for the sentence-similarity task. Explore more models for this use case.
All sentence-similarity Models →📊 Popularity
⬇ Downloads33.4M
❤️ Community Likes1.3K
🛠️ Requirements
- →Install: pip install sentence-transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.