How to use vxbrandon/pruned_model_iterative_020823 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vxbrandon/pruned_model_iterative_020823")
# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vxbrandon/pruned_model_iterative_020823") model = AutoModelForQuestionAnswering.from_pretrained("vxbrandon/pruned_model_iterative_020823", device_map="auto")
