metadata
tags:
- text-generation
language: zh
Note
This repo is under development.
Usage
pip install transformers
from transformers import CPMAntTokenizer, CPMAntModel
texts = ["今天天气真好！"]
model = CPMAntModel.from_pretrained("openbmb/cpm-ant-10b")
tokenizer = CPMAntTokenizer.from_pretrained("openbmb/cpm-ant-10b")
input_ids = tokenizer.get_model_input(texts)
logits, hidden = model(**input_ids)
print(logits.shape)
print(hidden.shape)
pipeline
texts = ["昨天多云转阴，", "今天天气不错，"]
generator = pipeline("text-generation", model="openbmb/cpm-ant-10b", tokenizer="openbmb/cpm-ant-10b")
result = generator(texts)
print(result)