Text Generation
Transformers
PyTorch
Chinese
English
gpt2
Generated from Trainer
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("qgyd2021/few_shot_ner")
model = AutoModelForCausalLM.from_pretrained("qgyd2021/few_shot_ner")Quick Links
few_shot_ner
此模型是基于 uer/gpt2-chinese-cluecorpussmall 在数据集 qgyd2021/few_shot_ner_sft 上训练的.
可以在此处 qgyd2021/gpt2_chat 体验.
基于此模型或数据集, 你可以:
(1)小样本或零样本的实体识别.
(2)用于实体识别数据集的辅助构建. 即当你在自己的数据集上进行了部分数据标注后, 可以与此数据集混合并训练模型, 之后用于数据自动标注/辅助标注.
- Downloads last month
- 813
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="qgyd2021/few_shot_ner")