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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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# Model Card for Model ID

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

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.
```bash
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)
```