10 апр. 2024 г. · The line inputs = inputs.to('cuda') is what takes up 95% of the time, based on the library line_profiler .

19 июл. 2021 г. · Trainer class using pytorch will automatically use the cuda (GPU) version without any additional specification. (You can check if pytorch + cuda ...

9 февр. 2022 г. · You should transfer your input to CUDA as well before performing the inference: device = torch.device('cuda') # transfer model ... How to load a huggingface pretrained transformer model ... Running huggingface Bert tokenizer on GPU - Stack Overflow Другие результаты с сайта stackoverflow.com

23 мар. 2022 г. · It turns out you need to just specify device="cuda" in that case. See the guide here for more info: https://huggingface.co/docs/accelerate/ ...

13 июл. 2022 г. · I am wondering how I can make the BERT tokenizer return tensors on the GPU rather than the CPU. I am following the sample code found here: BERT.

I'm trying to load hugging face transformers LM model setting 4 bit quantization configuration but i'm getting below error, RuntimeError: No GPU found.

30 сент. 2022 г. · I'm running into the following issue when trying to run an LED model. It appears that the tokenizer won't cast into CUDA.

28 мая 2020 г. · For our purposes tokenization is the process of transforming long text strings into smaller meaningful pieces to be fed into a language model ...

Loading a Tokenizer . To train or run inference on the models, one has to tokenize the inputs with a compatible tokenizer. Curated Transformers supports ...

6 нояб. 2024 г. · This article describes how to fine-tune a Hugging Face model with the Hugging Face transformers library on a single GPU.