kumarme072

/

med_model_1

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("fill-mask", model="kumarme072/med_model_1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM

tokenizer = AutoTokenizer.from_pretrained("kumarme072/med_model_1")
model = AutoModelForMaskedLM.from_pretrained("kumarme072/med_model_1")