Comments (1)
xinyu1205
commented on May 28, 2024
2
Thank you for your attention to our work! Personally, I would love to open source the training code and datasets right away, but there are two reasons why I am unable to immediately open source them:
- Tag2Text is still in the preprint version, and we are constantly improving it;
- The code and datasets are saved internally within our company, and opening them up involves a complex approval process that requires sufficient justification.
I really hope you can understand the situation. We expect to fully open source the training code and datasets by 3-4 months at the latest. Thank you once again for your attention to our work!
Best wishes!
from recognize-anything.
Related Issues (20)
- The pre-trained checkpoint HOT 1
- pre_caption function
- 4M version checkpoint HOT 1
- Can i inference RAM to output text? HOT 2
- RuntimeError: checkpoint url or path is invalid HOT 1
- 一个tag对应tag_chinese多个标签，如"table"==“桌子/表格”，如何过滤标签 HOT 6
- Error while running inference_ram_plus.py HOT 2
- generative tagging HOT 1
- Is `loss_t2t` in RAM necessary? Can I just remove it? HOT 7
- Finetuning question HOT 7
- Some questions about fine-tuning recognize-anything model HOT 1
- Relax transformers dependency version HOT 3
- Why is the tag and Caption text predicted by Tag2Text different? Why didn't Tag2Text use specific tags given by user?
- about training 4M dataset and the loss converge slowly HOT 3
- A question on embedding
- NameError: name '_C' is not defined HOT 1
- VisionTransformer undefined in ram.models.utils.py
- HuggingFace App is not working HOT 1
- Uncertain output results
- 【Bug】BertLayer should be used as a decoder model if cross attention is added
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from recognize-anything.