How to use hamingsi/SpikingLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hamingsi/SpikingLM")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hamingsi/SpikingLM") model = AutoModelForMaskedLM.from_pretrained("hamingsi/SpikingLM", device_map="auto")
