| | --- |
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| | {} |
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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") |
| | |
| | tokenizer=BertTokenizer.from_pretrained('Goutham-Vignesh/ContributionSentClassification-scibert') |
| | text_classification = pipeline('text-classification', model=model, tokenizer=tokenizer) |
| | ``` |
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