Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
feature-extraction
generated
Eval Results (legacy)
text-embeddings-inference
Instructions to use tomaarsen/st-v3-test-mpnet-base-allnli-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tomaarsen/st-v3-test-mpnet-base-allnli-stsb with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/st-v3-test-mpnet-base-allnli-stsb") sentences = [ "Really? No kidding! ", "yeah really no kidding", "At the end of the fourth century was when baked goods flourished.", "The campaigns seem to reach a new pool of contributors." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from tomaarsen/st-v3-test-mpnet-base-allnli-stsb: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/tomaarsen/st-v3-test-mpnet-base-allnli-stsb/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://tomaarsen/st-v3-test-mpnet-base-allnli-stsb/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/tomaarsen/st-v3-test-mpnet-base-allnli-stsb/resolve/main/config_sentence_transformers.json
176 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.7.0.dev0", | |
| "transformers": "4.39.3", | |
| "pytorch": "2.1.0+cu121" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null | |
| } |