Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
text-embeddings-inference
Instructions to use simplexico/legalevalrr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use simplexico/legalevalrr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("simplexico/legalevalrr") 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 pytorch_model.bin from simplexico/legalevalrr: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/simplexico/legalevalrr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simplexico/legalevalrr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simplexico/legalevalrr/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 122d7badb500b6f559f924b722ab0a6e166c37cbbf4c2d0a2e4023f97b76c34c
- Size of remote file:
- 438 MB
- SHA256:
- c5b486cfa91570bdd6a2a1ae6217d347914d63f92e79a4f28e55c674eec2b1c0
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