Transformers How to use EnDevSols/clinical_problems_reasons_to_stop with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="EnDevSols/clinical_problems_reasons_to_stop") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("EnDevSols/clinical_problems_reasons_to_stop")
model = AutoModelForSequenceClassification.from_pretrained("EnDevSols/clinical_problems_reasons_to_stop")