from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("svjack/squad_gen_qst_zh_v0")

model = AutoModelForSeq2SeqLM.from_pretrained("svjack/squad_gen_qst_zh_v0")

tokenizer.decode(
model.generate(
    tokenizer.encode(
            "川普是美利坚共和国的总统，并在56岁时获得该奖项。｜美利坚", 
        return_tensors="pt", add_special_tokens=True
        ))[0],
skip_special_tokens = True
)

'''
'川普在哪个国家当总统?'
'''

Downloads last month: 12

Inference API

Text2Text Generation

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

svjack
/

squad_gen_qst_zh_v0

Space using svjack/squad_gen_qst_zh_v0 1