Example: # pip install transformers from transformers import AutoModelForTokenClassification, AutoTokenizer # Load model model_path = 'huawei-noah/TinyBERT_General_4L_312D' model = AutoModelForTokenClassification.from_pretrained(model_path) tokenizer = AutoTokenizer.from_pretrained(model_path) # Convert the model to FP16 model.half() vs. model.to(dtype=torch.float16) What is the difference, if any, between model.half() and model.to(dtype=torch.float16) in huggingface-transformers? Continue reading...