Model: sajida-dev/fine-tune-deberta-v3-base-end2end-absa-model
Author: sajida-dev
Pipeline: token-classification
Library: transformers
Tags: transformers, pytorch, deberta-v2, token-classification, fine-tune, deberta, absa-model, sentiment-classification, aspect-based-sentiment-classification, sequence-labeling, sentiment-analysis, deberta-finetune, en, arxiv:2006.03654, base_model:yangheng/deberta-v3-base-end2end-absa, base_model:finetune:yangheng/deberta-v3-base-end2end-absa, license:mit, endpoints_compatible, region:us
Base models (finetune): id: yangheng/deberta-v3-base-end2end-absa
Card metadata: license: mit
language: en
metrics: accuracy, f1, precision, recall
base_model: yangheng/deberta-v3-base-end2end-absa
pipeline_tag: token-classification
library_name: transformers
tags: fine-tune, deberta, absa-model, sentiment-classification, aspect-based-sentiment-classification, sequence-labeling, sentiment-analysis, deberta-finetune
Likes: 0 | All-time downloads: 5
Created: 2025-12-19 12:01:28