Model: nikhil061307/contrastive-learning-bert-added-token-v5
Author: nikhil061307
Pipeline: feature-extraction
Library: transformers
Tags: transformers, pytorch, contrastive_clinical, feature-extraction, contrastive-learning, clinical-text, medical-nlp, entity-anonymization, triplet-loss, clinical-modernbert, sentence-embeddings, custom_code, en, dataset:clinical-notes, license:apache-2.0, model-index, region:us
Card metadata: language: en
license: apache-2.0
tags: contrastive-learning, clinical-text, medical-nlp, entity-anonymization, triplet-loss, clinical-modernbert, sentence-embeddings
datasets: clinical-notes
metrics: cosine_similarity, triplet_accuracy
pipeline_tag: feature-extraction
library_name: transformers
model-index: name: Clinical Contrastive ModernBERT with Entity Support
results: task: type: feature-extraction
name: Clinical Text Embeddings
dataset: type: clinical-notes
name: Clinical Notes Dataset
metrics: type: cosine_similarity
value: 0.87
name: Cosine Similarity
verified: no, type: triplet_accuracy
value: 0.94
name: Triplet Accuracy
verified: no
Likes: 0 | All-time downloads: 1937
Created: 2025-08-07 19:18:48