{t2-t1} seconds") return 0 if __name__ == "__main__": # list of 'rag-instruct' laptop-ready small bling models on HuggingFace pytorch_models = ["llmware/bling-1b-0.1", # most popular "llmware/bling-tiny-llama-v0", # fastest "llmware/bling-1.4b-0.1", "llmware/bling-...
Hey, I was trying out the cifar-10 tutorial (link). Could you assist with the runtime error. On executing (run_ds.sh): (dspeed) axe@axe-H270-Gaming-3:~/Downloads/DeepSpeedExamples/cifar$ sh run_ds.sh [2021-01-26 05:43:56,524] [WARNING] [...
We initialized Swin Backbones with the pre-trained model parameters from the ImageNet-1K dataset [13], and implement all models through the PyTorch framework on a GPU A100 developed by NVIDIA of the United States with 40 GB of memory. The ImageNet -1K dataset was founded by Feifei Li, a...
(b). Generally, the eSH method is not very slow, although it is not as fast as the iSH method. Because both the eSH method and the iSH method are used for the front part and only the eSH method is used for the latter part, here we have proposed two methods for vegetation detection...
If you face a problem when installingfast_bleu, for Linux, please ensureGCC >= 5.1.0. For Windows, you can use the wheels infast_bleu_wheel4windowsfor installation. For MacOS, you can install with the following command: pip install fast-bleu --install-option="--CC=<path-to-gcc>"--...
Using /home/sl_tyrc/.cache/torch_extensions/py310_cu116 as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /home/sl_tyrc/.cache/torch_extensions/py310_cu116/fused_adam/build.ninja... Building extension module fused_adam... ...
{t2-t1} seconds") return 0 if __name__ == "__main__": # list of 'rag-instruct' laptop-ready small bling models on HuggingFace pytorch_models = ["llmware/bling-1b-0.1", # most popular "llmware/bling-tiny-llama-v0", # fastest "llmware/bling-1.4b-0.1", "llmware/bling-...
{t2-t1} seconds") return 0 if __name__ == "__main__": # list of 'rag-instruct' laptop-ready small bling models on HuggingFace pytorch_models = ["llmware/bling-1b-0.1", # most popular "llmware/bling-tiny-llama-v0", # fastest "llmware/bling-1.4b-0.1", "llmware/bling-...
See also additional deployment/install release notes in wheel_archivesWednesday, May 22 - v0.2.15Improvements in Model class handling of Pytorch and Transformers dependencies (just-in-time loading, if needed) Expanding API endpoint options and inference server functionality - see new client access ...
Improvements in Model class handling of Pytorch and Transformers dependencies (just-in-time loading, if needed) Expanding API endpoint options and inference server functionality - see new client access options and server_launchSaturday, May 18 - v0.2.14New OCR image parsing methods with example ...