| | ---
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| | license: apache-2.0
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| | ---
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| |
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| | The base model of AutoCode_QW_7B is [CodeQwen1.5-7b](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat).
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| |
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| | In this version, we fixed the problem that the model will only start the code interpreter when you ask it to *verify* its code.
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| |
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| | you can try the code interpreter function on the [AutoCoder GitHub](https://github.com/bin123apple/AutoCoder/tree/main/Web_demo)
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| |
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| | For the simple code generation without code interpreter ability, try the following script:
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| |
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| | ```python
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| | from transformers import AutoTokenizer, AutoModelForCausalLM
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| | from datasets import load_dataset
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| | model_path = "Bin12345/AutoCoder_QW_7B"
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| | tokenizer = AutoTokenizer.from_pretrained(model_path)
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| | model = AutoModelForCausalLM.from_pretrained(model_path,
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| | device_map="auto")
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| |
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| | Input = "" # input your question here
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| |
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| | messages=[
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| | { 'role': 'user', 'content': Input}
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| | ]
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| | inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True,
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| | return_tensors="pt").to(model.device)
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| | outputs = model.generate(inputs,
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| | max_new_tokens=1024,
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| | do_sample=False,
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| | temperature=0.0,
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| | top_p=1.0,
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| | num_return_sequences=1,
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| | eos_token_id=tokenizer.eos_token_id)
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| | answer = tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True)
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| | ```
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| |
|
