How to use apps1/medical_bert_tiny_asymmetric_old_dataset_v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-tiny") model = PeftModel.from_pretrained(base_model, "apps1/medical_bert_tiny_asymmetric_old_dataset_v1")
How to use apps1/medical_bert_tiny_asymmetric_old_dataset_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="apps1/medical_bert_tiny_asymmetric_old_dataset_v1")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("apps1/medical_bert_tiny_asymmetric_old_dataset_v1") model = AutoModelForSequenceClassification.from_pretrained("apps1/medical_bert_tiny_asymmetric_old_dataset_v1", device_map="auto")
How to fix it?
