Create README.md

README.md

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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
+# Doc / guide: https://huggingface.co/docs/hub/model-cards
+{}
+---
+
+# 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)
+```
+
+
+