# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Southstreamer/design_extractor_bert")
model = AutoModelForSequenceClassification.from_pretrained("Southstreamer/design_extractor_bert")Quick Links
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Check out the documentation for more information.
Design Extractor
Fine-tuned on BERT for design meeting sentence classification. Trained on a small dataset consisting of six different one-hour meetings between different software engineering groups (Jolak et al., 2018).
license: apache-2.0
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Southstreamer/design_extractor_bert")