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