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Thank you for documenting everything you learned. It is very helpful. I have been trying to find a pre-coded Q-LORA for BiomedCLIP but I couldn't so I have to do it on my own. BioMedCLIP uses a BERT m…
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MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
https://arxiv.org/pdf/2404.16006
CONTEXTUAL: Evaluating Context-Sensitive Text-Ric…
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![image](https://github.com/paperswithlove/papers-we-read/assets/100809463/602058a1-017f-4f10-91fc-fab580e54c5b)
- 전체+분할 Low Res. Encoder화 High Res. Dual Encoder까지!!!
![image](https://github.com…
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模型加载使用model = AutoModel.from_pretrained(
path,
torch_dtype=torch.float16,
low_cpu_mem_usage=True,
trust_remote_code=True,
device_map='auto').eval()
想问下tensor应该怎么处理呀?不管是把数据放不到…
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**Original article:** Teaching CLIP to Count to Ten (https://arxiv.org/pdf/2302.12066)
**PDF URL:** https://github.com/SforAiDl/CountCLIP/blob/main/resc/ReScience.pdf
**Metadata URL:** https://g…
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Hello,I would like to ask why you use ViT-B/16 as a text encoder. Why not use NLP models as a text encoder? Thank you very much.
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Please let us know what model architectures you would like to be added!
**Up to date todo list below. Please feel free to contribute any model, a PR without device mapping, ISQ, etc. will still be …
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```
pybullet build time: May 16 2024 23:57:18
WARNING - 2024-05-17 02:28:39,256 - rigid_transformations - Failed to import geometry msgs in rigid_transformations.py.
WARNING - 2024-05-17 02:28:39,2…
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Thanks for your awesome work in model merging! I'm excited about the improvements you achieved compare to other merging methods. However, I saw the individually fine-tuned models still out-perform WEM…
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The Phi3 vision model is excellent and does a great job in extracting text. I am using the CPU version via C# DirectML package.
1. What is the max image filesize in kb that can be sent to the mode…