metadata

datasets:
  - quarkss/stsb-indo-mt
  - rzkamalia/stsb-indo-mt-modified
language:
  - id
base_model:
  - sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
tags:
  - Sentence Similarity
  - text-embeddings-inference
  - feature-extraction

Fine-tune sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 using Indonesia dataset

This is a sentence-transformers model fine-tuned from sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 using the CSV dataset. The dataset source is rzkamalia/stsb-indo-mt-modified.

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# download model
model = SentenceTransformer("rzkamalia/fine-tune-paraphrase-multilingual-MiniLM-L12-v2-version-2")

# run inference
sentences = [
    '...',
    '...',
    '...'
]
embeddings = model.encode(sentences)

# get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)