导入必要的库：
import tensorflow as tf
from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
加载预训练的NLP模型和标记器：
model_name = "bert-base-uncased" # 选择适合你任务的模型名称
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = TFAutoModelForSequenceClassification.from_pretrained(model_name)
准备输入文本数据并进行标记：
input_text = "你的输入文本"
input_ids = tokenizer.encode(input_text, add_special_tokens=True, padding=True, truncation=True, max_length=128, return_tensors="tf")
运行模型进行推理：
output = model(input_ids)
logits = output.logits

by chatgpt