# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("leoliu/pat_classifier_distilbert")
model = AutoModelForSequenceClassification.from_pretrained("leoliu/pat_classifier_distilbert")Quick Links
Classify patents into process and product.
Try with the hosted API. Label_1 is the probability of being a process patent and Label_0 is a product.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leoliu/pat_classifier_distilbert")