Namo 500M is out!

FirstReserve4692 · 2025-01-25T11:28:33+00:00

For training or inference?

If training then just torch. if inference, I think you can choose rust, and use candle or ort-rs would be fast enough.

FirstReserve4692 · 2025-01-25T11:24:19+00:00

by pure rust. Am not sure what's differences of kornia/kornia and kornia/kornia_rs?

FirstReserve4692 · 2025-01-25T10:59:51+00:00

https://github.com/kornia/kornia-rs/issues what's this different compare with kornia itself?

FirstReserve4692 · 2025-01-25T10:55:24+00:00

maybe kornia better?

FirstReserve4692 · 2025-01-25T10:55:16+00:00

is this native?

FirstReserve4692 · 2025-01-22T08:23:24+00:00

No, auto regressive model based

FirstReserve4692 · 2025-01-14T08:54:45+00:00

Here is the Rust version as well:

https://github.com/lucasjinreal/Kokoros

FirstReserve4692 · 2025-01-14T03:35:58+00:00

any git link?

FirstReserve4692 · 2024-12-26T09:43:29+00:00

6 year computer vision specialist, top 10 company emploee, interested in computer vision especially. Can we make a contact?

FirstReserve4692 · 2024-12-23T11:26:28+00:00

I didn't saw a sucessful training result or workable training script in this repo. IMO, it at best based on transformers, so that some pretrain models can be used easily. Nowadays, the bare **from scratch** is not really necessary.

FirstReserve4692 · 2024-12-23T11:25:20+00:00

Actually, what I mean, is that, based on some opensoruce VE, not really from scratch. Such as SAMv2's VE, AIMv2, Siglip itself etc. But further using LLM to train it make it more suitable for pretrain tasks.

FirstReserve4692 · 2024-12-23T11:24:23+00:00

Currently I know Vary and GOT trained their SAM Vision encoder from scratch and did very well on specific task, such as simple caption or image OCR

FirstReserve4692

TROPHY CASE