# Load model directly
from transformers import AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("Goutham-Vignesh/ContributionSentClassification-scibert", dtype="auto")Quick Links
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)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Goutham-Vignesh/ContributionSentClassification-scibert")