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