Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use swardiantara/message-problem-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use swardiantara/message-problem-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("swardiantara/message-problem-embedding") 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 eval/similarity_evaluation_message-embedding_results.csv from swardiantara/message-problem-embedding: direct link, hf CLI and curl.
- Browser
- Download file 613 Bytes
-
https://huggingface.co/swardiantara/message-problem-embedding/resolve/main/eval/similarity_evaluation_message-embedding_results.csv
- Command line
-
hf download hf://swardiantara/message-problem-embedding/eval/similarity_evaluation_message-embedding_results.csv
-
curl -L -o similarity_evaluation_message-embedding_results.csv https://huggingface.co/swardiantara/message-problem-embedding/resolve/main/eval/similarity_evaluation_message-embedding_results.csv
613 Bytes
| epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman | |
| 0,-1,0.9999467869375481,0.8656988167970985,0.999941179104846,0.8656987979534504,0.999942935175436,0.8656987979564592,0.9999467869302122,0.8656988235837373 | |
| 1,-1,0.9999622672979924,0.8656990027669951,0.9999815118480693,0.8656987979558001,0.9999813874301724,0.865698797962423,0.9999622672343181,0.8656990717216001 | |
| 2,-1,0.9999884776033934,0.8656993140092852,0.9999920786619563,0.8656987979777538,0.9999913528024877,0.8656987980103968,0.9999884775992798,0.865699484257503 | |