Qhagamshelana nathi

Zive ukhululekile ukusibhalela ukuba unayo nayiphi na imibuzo ofuna ukuyicacisa malunga ne-InStag.

Ukurhoxisa umrhumo cofa ikhonkco elilandelayo: Rhoxisa umrhumo

Ukuba ungathanda ukubuyiselwa imali nangasiphi na isizathu phakathi kweentsuku ezingama-30 zokuthenga kwakho cofa eli khonkco lilandelayo: Cela ukubuyiselwa imali

If you would like to contact us use our support page

Idilise yemeyile:

Instag LLC
Attn: Instag
850 Clark st.
P.O. Box 1232
South Windsor CT 06074

Idilesi:

122 Pine Knob
South Windsor CT 06074

If you would like to contact us use our support page

[Error: All translation engines failed for batch: MADLAD batch translation failed: CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.87 GiB of which 3.62 MiB is free. Process 3280094 has 228.00 MiB memory in use. Process 2050901 has 246.00 MiB memory in use. Process 3358747 has 336.00 MiB memory in use. Process 3364221 has 336.00 MiB memory in use. Process 3373233 has 2.10 GiB memory in use. Process 3380506 has 2.10 GiB memory in use. Process 3437459 has 1.31 GiB memory in use. Process 3437461 has 1.17 GiB memory in use. Process 3437456 has 1.23 GiB memory in use. Process 3437458 has 1.29 GiB memory in use. Process 3437454 has 1.30 GiB memory in use. Including non-PyTorch memory, this process has 9.86 GiB memory in use. Process 3437463 has 1.19 GiB memory in use. Process 3437467 has 1.19 GiB memory in use. Of the allocated memory 9.58 GiB is allocated by PyTorch, and 106.99 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)]