interneuronai/customer_support_ticket_classification_pegasus_dataset
收藏Hugging Face2024-05-10 更新2024-06-12 收录
下载链接：
https://hf-mirror.com/datasets/interneuronai/customer_support_ticket_classification_pegasus_dataset
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资源简介：
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### Customer Support Ticket Classification
**Description:** Categorize customer support tickets based on their content to improve the efficiency of the support team and provide faster resolution times.
## How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/customer_support_ticket_classification_pegasus"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
def classify_text(text):
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)
outputs = model(**inputs)
predictions = outputs.logits.argmax(-1)
return predictions.item()
text = "Your text here"
print("Category:", classify_text(text))
提供机构：
interneuronai
原始信息汇总
Customer Support Ticket Classification
描述: 本数据集用于根据客户支持票证的内容进行分类，旨在提高支持团队的效率并加快解决时间。
