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Add text similarity task for Taskflow #1345
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docs/model_zoo/taskflow.md
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@@ -174,6 +176,20 @@ senta("作为老的四星酒店,房间依然很整洁,相当不错。机场 | |||
>>> [{'text': '作为老的四星酒店,房间依然很整洁,相当不错。机场接机服务很好,可以在车上办理入住手续,节省时间。', 'label': 'positive', 'score': 0.984320878982544}] | |||
``` | |||
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### 文本匹配 |
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文本相似度计算更为直观
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已修改
docs/model_zoo/taskflow.md
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@@ -11,6 +11,7 @@ | |||
- [文本纠错](#文本纠错) | |||
- [句法分析](#句法分析) | |||
- [情感分析](#情感分析) | |||
- [文本匹配](#文本匹配) |
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文本相似度
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fixed
paddlenlp/taskflow/text_matching.py
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usage = r""" | ||
from paddlenlp import Taskflow | ||
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taskname改为text similarity会不会更为表意?
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已修改
docs/model_zoo/taskflow.md
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similarity = Taskflow("text_similarity") | ||
similarity([["世界上什么东西最小", "世界上什么东西最小?"]]) | ||
>>> [{'query': '世界上什么东西最小', 'title': '世界上什么东西最小?', 'similarity': 0.992725}] |
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输入的key可能采用text1,text2 更加准确。如果用query和title会被倾向于认为是短文本与长文本匹配
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已修改
[{'text1': '世界上什么东西最小', 'text2': '世界上什么东西最小?', 'similarity': 0.992725}] | ||
''' | ||
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similarity = Taskflow("text_similarity", batch_size=2) |
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batch_size这地方需要手动配置吗?是否可以根据输入的size自动获得呢?
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是说batch_size=1的话,不能同时输入两条?还是说这个batch size是作为predictor的关键参数
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batch_size目前是手动配置的,默认值是1,考虑是让用户结合机器本身情况配置
batch_size是predictor的关键参数
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建议整体内部代码都体现为text1和text2,不要外头是text1内部是query
self.input_handles[1].copy_from_cpu(t_segment_ids) | ||
self.predictor.run() | ||
vecs_title = self.output_handle[1].copy_to_cpu() | ||
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建议整体内部代码都体现为text1和text2。
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已修改
docs/model_zoo/taskflow.md
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similarity([["世界上什么东西最小", "世界上什么东西最小?"]]) | ||
>>> [{'text1': '世界上什么东西最小', 'text2': '世界上什么东西最小?', 'similarity': 0.992725}] | ||
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similarity = Taskflow("text_similarity", batch_size=2) |
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还是得告诉开发者,为什么这个batch_size=2有什么用。
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其他examples都得同步增强下这里的API参数描述。不然这里会误解,必须要设置batch size=2,才能传入两条样本
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已修改,这里修改了代码示例,新增可配置参数说明
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LGTM
PR types
New features
PR changes
APIs
Description
1.Add text similarity task for Taskflow