How to use zgh36/HRoom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zgh36/HRoom")
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zgh36/HRoom") model = AutoModelForMaskedLM.from_pretrained("zgh36/HRoom")