Sentence Similarity
Transformers.js
ONNX
sentence-transformers
modernbert
feature-extraction
medical
clinical
biomedical
pubmed
healthcare
medical-ai
clinical-nlp
bioinformatics
medical-literature
clinical-text
text-embeddings-inference
Instructions to use MaunikG/ModernPubMedBERT-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use MaunikG/ModernPubMedBERT-ONNX with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'MaunikG/ModernPubMedBERT-ONNX'); - sentence-transformers
How to use MaunikG/ModernPubMedBERT-ONNX with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MaunikG/ModernPubMedBERT-ONNX") 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
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