YAML Metadata Error: "widget" must be an array

Chinese Ancient GPT2 Model

Model description

The model is used to generate ancient Chinese.The model uses the frame of GPT2-medium. We trained on 4 P100 for about 8 days.(batch size = 4, steps = 1M)

How to use

You can use the model directly with a pipeline for text generation:

from transformers import BertTokenizer, GPT2LMHeadModel, TextGenerationPipeline
tokenizer = BertTokenizer.from_pretrained("zhuimengshaonian/gpt2-ancient-medium")
model = GPT2LMHeadModel.from_pretrained("zhuimengshaonian/gpt2-ancient-medum")
text_generator = TextGenerationPipeline(model, tokenizer)
text_generator("[CLS]当是时", max_length=100, do_sample=True)
Downloads last month
5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support