What is your question?
在训练完NER模型后进行推理，报错KeyError: 'mask'
What have you tried?
No response
Code (if necessary)
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
import os
os.environ['HTTP_PROXY'] = 'http://127.0.0.1:7897'
os.environ['HTTPS_PROXY'] = 'http://127.0.0.1:7897'
p = pipeline(
Tasks.named_entity_recognition,
'D:/PyCharm Community Edition 2024.1.1/workspace/SMNER/adaseq/experiments/RiVEG-twitter-10000/241128164248.201824/output_best' # 绝对路径
)
result = p('1984年出生，中国国籍，汉族，硕士学历')
print(result)
What's your environment?
- AdaSeq Version (e.g., 1.0 or master):
- ModelScope Version (e.g., 1.0 or master):
- PyTorch Version (e.g., 1.12.1):
- OS (e.g., Ubuntu 20.04):
- Python version:
- CUDA/cuDNN version:
- GPU models and configuration:
- Any other relevant information:
Code of Conduct
What is your question?
在训练完NER模型后进行推理，报错KeyError: 'mask'
What have you tried?
No response
Code (if necessary)
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
import os
os.environ['HTTP_PROXY'] = 'http://127.0.0.1:7897'
os.environ['HTTPS_PROXY'] = 'http://127.0.0.1:7897'
p = pipeline(
Tasks.named_entity_recognition,
'D:/PyCharm Community Edition 2024.1.1/workspace/SMNER/adaseq/experiments/RiVEG-twitter-10000/241128164248.201824/output_best' # 绝对路径
)
result = p('1984年出生，中国国籍，汉族，硕士学历')
print(result)
What's your environment?
Code of Conduct