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