# Pipeline on GPU

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fpipeline-on-gpu%2F58604%3E%5C
**Category:** Beginners\
**Created:** [October 15, 2023, 5:43am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fpipeline-on-gpu%2F58604 "2023-10-15T05:43:03Z")\
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**Page:** 1

<div class="post-metadata">

**Author:** ![GhadeerAli](https://avatars.discourse-cdn.com/v4/letter/g/aeb1de/32.png) [@GhadeerAli](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FGhadeerAli)%5C
**Post date:** [October 15, 2023, 5:43am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fpipeline-on-gpu%2F58604%2F1 "2023-10-15T05:43:03Z")

</div>

```auto
model_name = "gchhablani/bert-base-cased-finetuned-sst2"

model = AutoModelForSequenceClassification.from_pretrained(model_name).to(device)

tokenizer = AutoTokenizer.from_pretrained(model_name)

classifier = pipeline(task='text-classification', model=model,tokenizer=tokenizer,device=0)

input="i"

print(classifier(input))

```

Having this code i am getting

> RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!