# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("GraphBot/model-pt")
model = AutoModelForTokenClassification.from_pretrained("GraphBot/model-pt", device_map="auto")Quick Links
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This is a Natural Entity Recognition Model built to recognise variable names and graph types for use in a bioinformatics graphing tool. It was build by Sarina Chai, Daichi Ito and Harry Martens as part of a UNSW DESN2000 Project
The model is built upon the existing BERT-BASED-UNCASED model.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GraphBot/model-pt")