Closed apking2000 closed 9 months ago
We only tested on a 40GB A100. You can try setting dtype='float16'
.
Hi can you tell me how you use the multi modality to retrieve the data ex:- text+image to image?? It will be very helpful for me??
Thanks Aakash
On Mon, 8 Jan 2024, 12:53 Wang Peng, @.***> wrote:
We only tested on a 40GB A100. You can try setting dtype='float16'.
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Like i want to know how we combine multiple embedding to retrieve the image data
On Mon, 15 Jan 2024, 17:28 aakash panda, @.***> wrote:
Hi can you tell me how you use the multi modality to retrieve the data ex:- text+image to image?? It will be very helpful for me??
Thanks Aakash
On Mon, 8 Jan 2024, 12:53 Wang Peng, @.***> wrote:
We only tested on a 40GB A100. You can try setting dtype='float16'.
— Reply to this email directly, view it on GitHub https://github.com/OFA-Sys/ONE-PEACE/issues/46#issuecomment-1880492972, or unsubscribe https://github.com/notifications/unsubscribe-auth/AUXQ2ET3GN2CUTGH64MCNBDYNONI5AVCNFSM6AAAAABBJVZLI2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOBQGQ4TEOJXGI . You are receiving this because you authored the thread.Message ID: @.***>
@apking2000 For guidance on implementing text+image to image retrieval, you can refer to multi-modal-embedding. To accomplish this, simply calculate the mean of text_features
and image_features
, and then employ the combined features to retrieve images.
import torch from one_peace.models import from_pretrained
device = "cuda" if torch.cuda.is_available() else "cpu" model = from_pretrained("ONE-PEACE", device=device, dtype="float32")
when i try to load model my kernel died can you tell me the specification of device like memory requirements, gpu memory allocation etc?