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@ -50,8 +50,8 @@ Also check out our [GPTQ documentation](https://qwen.readthedocs.io/en/latest/qu
Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents. Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
```python ```python
from transformers import AutoModelForCausalLM, AutoTokenizer from modelscope import AutoModelForCausalLM, AutoTokenizer
model_name = "Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4" model_name = "qwen/Qwen2.5-72B-Instruct-GPTQ-Int4"
model = AutoModelForCausalLM.from_pretrained( model = AutoModelForCausalLM.from_pretrained(
model_name, model_name,
torch_dtype="auto", torch_dtype="auto",