metadata
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- medical
library_name: transformers
Model summary
bert-sci-am is a BERT-family model trained for scientific literature argument mining. At low-level it performs sequence classification.
How to use
from transformers import AutoModelForSequenceClassification, AutoTokenizer
def load_model():
"""Load model from hub"""
checkpoint = "david-inf/bert-sci-am"
model = AutoModelForSequenceClassification.from_pretrained(
checkpoint, num_labels=2)
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
return model, tokenizer
model, tokenizer = load_model()