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| <!-- Performs sentence classification to determine whether a given sentence is a contribution sentence or not from the research paper--> |
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| Performs sentence classification to determine whether a given sentence is a contribution sentence or not from the research paper |
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| ## Model Details |
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| ### Model Description |
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| - **Model type:** text-classification |
| - **Language(s) (NLP):** EN |
| - **Finetuned from model:** allenai/scibert_scivocab_uncased |
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| ### How to Get Started with the Model |
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| 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") |
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| tokenizer=BertTokenizer.from_pretrained('Goutham-Vignesh/ContributionSentClassification-scibert') |
| text_classification = pipeline('text-classification', model=model, tokenizer=tokenizer) |
| ``` |
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