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--- |
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tags: |
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- text-generation |
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language: zh |
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--- |
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## Note |
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**This repo is under development.** |
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## Usage |
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``` |
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pip install transformers |
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``` |
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```python |
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from transformers import CPMAntTokenizer, CPMAntForCausalLM |
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texts = "今天天气真好！" |
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model = CPMAntForCausalLM.from_pretrained("openbmb/cpm-ant-10b") |
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tokenizer = CPMAntTokenizer.from_pretrained("openbmb/cpm-ant-10b") |
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input_ids = tokenizer(texts, return_tensors="pt") |
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outputs = model.generate(**input_ids) |
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output_texts = tokenizer.batch_decode(outputs) |
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print(output_texts) |
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``` |
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## pipeline |
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```python |
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texts = ["昨天多云转阴，", "今天天气不错，"] |
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generator = pipeline("text-generation", model="openbmb/cpm-ant-10b", tokenizer="openbmb/cpm-ant-10b") |
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result = generator(texts) |
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print(result) |
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``` |
