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Hi! I am trying to fine tune Conv2d with LoRA. I first loaded the pre-trained model weights. Below is the snippet of original Conv2d in the model and respective weight of first matrix:
```
model
…
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The problems I have encountered are:
一：As mentioned earlier, placing the pre trained model in the output
1：Is the pre trained model only applicable to Baidu Cloud's pre trained model? Or preproces…
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I am not sure why the implementation only use the tokenizer from hugging face but did not use the pre-trained encoder. I mean why need to retrain the BERT-like transformer? Is the text embedding from …
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hello sir "output_graph.pbmm" is currently not available in your reposetory can you please make it availabe or please provide the file as it is pretrained model and must need for this please accept th…
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In section 4.2 Implementation Details :"We initialize the detector with CLIP pre-trained weights"
I can't find the code position
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### Feature Idea
"DiffuseHigh enables the pre-trained text-to-image diffusion models (SDXL in this figure) to generate higher-resolution images than the originally trained resolution, e.g., 4×, 16×, …
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Is it possible to run inference on any image with the provided pre-trained model?
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Hi,
I would like to test your model. Currently, pre-trained weights do not seem to be part of this repo. Is it possible to provide the pre-trained model weights that you are mentioning in your paper?…
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config_pretrain.yaml
accelerator: gpu
devices: [0, 1]
Hello! Is this only using two graphics cards? How much video memory?
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I noticed that the project provides the performance of all models on five datasets, can you please provide their pre-trained models?