| license: apache-2.0 | |
| datasets: | |
| - XiangPan/waimai_10k | |
| language: | |
| - zh | |
| base_model: | |
| - huawei-noah/TinyBERT_4L_zh | |
| pipeline_tag: text-classification | |
| 基于TinyBERT训练的一个模型,使用方法如下: | |
| ``` | |
| >>> from transformers import pipeline | |
| >>> classifer = pipeline("text-classification", model="waimai") | |
| >>> classifer("这家店明码标价、分量足！") | |
| [{'label': '差评', 'score': 0.9906463623046875}] | |
| ``` | |