 How to use?  1. Download the model by hugging face transformers. ```python from transformers import BertTokenizer, BertForMaskedLM, pipeline  tokenizer = BertTokenizer.from_pretrained("AndyChiang/cdgp-csg-scibert-cloth") csg_model = BertForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-scibert-cloth") ```  2. Create a unmasker. ```python unmasker = pipeline("fill-mask", tokenizer=tokenizer, model=csg_model, top_k=10) ```  3. Use the unmasker to generate the candidate set of distractors. ```python sent = "I feel [MASK] now. [SEP] happy" cs = unmasker(sent) print(cs) ```  