# Is Transformers using GPU by default?
**URL:**
**Author:**  [@OlivierCR](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FOlivierCR)%5C
**Post date:** [July 19, 2021, 5:39pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F1 "2021-07-19T17:39:49Z")
I’m instantiating a model with this
```auto
tokenizer = AutoTokenizer.from_pretrained("nlptown/bert-base-multilingual-uncased-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("nlptown/bert-base-multilingual-uncased-sentiment")
```
Then running a for loop to get prediction over 10k sentences on a G4 instance (T4 GPU). GPU usage (averaged by minute) is a flat 0.0%. What is wrong? How to use GPU with Transformers?
---
**Author:**  [@sgugger](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fsgugger)%5C
**Post date:** [July 19, 2021, 5:56pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F2 "2021-07-19T17:56:07Z")
This like with every PyTorch model, you need to put it on the GPU, as well as your batches of inputs.
---
**Author:**  [@philschmid](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fphilschmid)%5C
**Post date:** [July 20, 2021, 7:22am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F3 "2021-07-20T07:22:55Z")
You can take a look at this issue [How to make transformers examples use GPU? · Issue #2704 · huggingface/transformers · GitHub](https://github.com/huggingface/transformers/issues/2704) It includes an example for how to put your model on GPU.
```python
device = "cuda:0" if torch.cuda.is_available() else "cpu"
sentence = 'Hello World!'
tokenizer = AutoTokenizer.from_pretrained('bert-large-uncased')
model = BertModel.from_pretrained('bert-large-uncased')
inputs = tokenizer(sentence, return_tensors="pt").to(device)
model = model.to(device)
outputs = model(**inputs)
```
---
**Author:**  [@AshutoshDongare](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FAshutoshDongare)%5C
**Post date:** [March 23, 2022, 11:50am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F4 "2022-03-23T11:50:02Z")
@sgugger
Are there any samples of how Huggingface Transformer finetuning should be done using GPU please?
---
**Author:**  [@Radz](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FRadz)%5C
**Post date:** [May 12, 2022, 11:57pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F5 "2022-05-12T23:57:01Z")
Hi @sgugger were you able to figure this out?
---
**Author:**  [@folterj](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Ffolterj)%5C
**Post date:** [December 31, 2022, 12:33pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F6 "2022-12-31T12:33:32Z")
I had the same issue - to answer this question, if pytorch + cuda is installed, an e.g. transformers.Trainer class using pytorch will automatically use the cuda (GPU) version without any additional specification.
(You can check if pytorch + cuda is installed by checking if the `pytorch-cuda` package is installed.)
---
**Author:**  [@ar78](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Far78)%5C
**Post date:** [December 11, 2023, 1:53am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fis-transformers-using-gpu-by-default%2F8500%2F7 "2023-12-11T01:53:34Z")
Is there a way to explicitly disable the trainer from using the GPU? I see something about `place_model_on_device` on [Trainer](https://huggingface.co/docs/transformers/main_classes/trainer) but it is unclear how to set it to `False`.
EDIT: Oh, I see I can set `use_cpu` in [TrainingArguments](https://huggingface.co/docs/transformers/v4.35.2/en/main_classes/trainer#transformers.TrainingArguments) to False.