# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("xiaoxibing/paper_classify_fine_tuning_bert")
model = AutoModelForSequenceClassification.from_pretrained("xiaoxibing/paper_classify_fine_tuning_bert", device_map="auto")Quick Links
mutil-lable classify Fine_tuning bert_base by a dataset classified by 20 clusters from Science Direct Topic
Use a pipeline as a high-level helper
from transformers import pipeline
classifier = pipeline("text-classification", model="xiaoxibing/paper_classify_fine_tuning_bert")
classifier("""The Growing Role of Digital Health Tools in the Care of Patients with Cancer: Current Use, Future Opportunities, and Barriers to Effective Implementation""")
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xiaoxibing/paper_classify_fine_tuning_bert")