46 lines
1.2 KiB
Markdown
46 lines
1.2 KiB
Markdown
---
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language:
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- en
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- zh
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library_name: transformers
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tags:
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- minicpm
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- duplex
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- text-generation
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base_model: xinrongzhang2022/MiniCPM-duplex
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---
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# MiniCPM-duplex (safetensors)
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Modern safetensors conversion of [xinrongzhang2022/MiniCPM-duplex](https://huggingface.co/xinrongzhang2022/MiniCPM-duplex).
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**Weights are identical** — only the serialization format has changed from `pytorch_model.bin`
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to `model.safetensors`, enabling memory-mapped loading and compatibility with current
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versions of Transformers.
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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tokenizer = AutoTokenizer.from_pretrained(
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"enochlev/MiniCPM-duplex", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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"enochlev/MiniCPM-duplex",
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trust_remote_code=True,
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dtype=torch.float16,
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device_map="auto",
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)
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prompt = "<用户>Hello, what can you do?<AI>"
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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out = model.generate(**inputs, max_new_tokens=256)
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print(tokenizer.decode(out[0], skip_special_tokens=True))
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```
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## Original model
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See [xinrongzhang2022/MiniCPM-duplex](https://huggingface.co/xinrongzhang2022/MiniCPM-duplex)
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for the original weights, paper, and full documentation.
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