Model: NeuML/pubmedbert-base-colbert
Author: NeuML
Pipeline: sentence-similarity
Library: PyLate
Tags: PyLate, safetensors, bert, ColBERT, sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, loss:Contrastive, en, arxiv:2405.19504, base_model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext, base_model:finetune:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
Card metadata: tags: ColBERT, PyLate, sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, loss:Contrastive
base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
pipeline_tag: sentence-similarity
library_name: PyLate
metrics: accuracy
model-index: name: PyLate model based on microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
results: task: type: col-berttriplet
name: Col BERTTriplet
dataset: name: Unknown
type: unknown
metrics: type: accuracy
value: 0.9996359348297119
name: Accuracy
verified: no
language: en
license: apache-2.0
Likes: 6 | All-time downloads: 553
Created: 2025-09-02 12:47:08