Edit model card

Performs sentence classification to determine whether a given sentence is a contribution sentence or not from the research paper

Model Details

Model Description

  • Model type: text-classification
  • Language(s) (NLP): EN
  • Finetuned from model: allenai/scibert_scivocab_uncased

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import pipeline
from transformers import BertTokenizer, BertForSequenceClassification
model = BertForSequenceClassification.from_pretrained("Goutham-Vignesh/ContributionSentClassification-scibert")

tokenizer=BertTokenizer.from_pretrained('Goutham-Vignesh/ContributionSentClassification-scibert')
text_classification = pipeline('text-classification', model=model, tokenizer=tokenizer)
Downloads last month
81
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.