Model: POKWIR/Bert_sentiment_classifier
Author: POKWIR
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, bert, text-classification, sentiment-analysis, en, base_model:google/bert_uncased_L-2_H-128_A-2, base_model:finetune:google/bert_uncased_L-2_H-128_A-2, license:mit, endpoints_compatible, region:us
Base models (finetune): id: google/bert_uncased_L-2_H-128_A-2
Card metadata: language: en
tags: bert, sentiment-analysis, text-classification
license: mit
pipeline_tag: text-classification
library_name: transformers
widget: text: I had surgery last month. and I was very impressed with the quality of service from the moment I got in till I left. Also I like to mention the nurses they were out standing
example_title: Positive, text: I received the update and will review it later this week.
example_title: Neutral, text: Dirty. Generally poor attitude among the nurses, even the good know the place sucks. When patients are crying for help nurse should not be busy watching Tik-Tok. Too many mistakes made too often. Teaching nurses instructing student nurse procedures incorrectly. Yes, it is bad.
example_title: Negative
base_model: google/bert_uncased_L-2_H-128_A-2
Likes: 1 | All-time downloads: 132
Created: 2023-12-30 11:31:51