-
There is my issue:
/home/fountain/miniconda3/bin/conda run -n Linear_Alignment --no-capture-output python /home/fountain/pycharmProjects/Linear_Alignment/demo.py
Loading checkpoint shards: 100%|███…
-
Hello,
Currently the featuring to merge Flux LoRA into the base model does not function properly with LoRA trained by Ostris' AI-Toolkit. This appears to be due to a difference in the way the keys…
-
File "/root/ld/ld_project/pull_request/MiniCPM-V/web_demo_2.6.py", line 44, in
model = AutoModel.from_pretrained(model_path, trust_remote_code=True)
File "/root/ld/conda/envs/minicpm/lib/py…
-
Thanks for publishing source code, the work is very interesting.
I am running this code for my project however I face issue when run test code for transformer:
Unexpected key(s) in state_dic…
-
when I run code according to README.md:
cd MobileUNETR
cd experiments/isic_2016/exp_2_dice_b8_a2/
# the default gpu device is set to cuda:0 (you can change it)
CUDA_VISIBLE_DEVICES="0" accelerate …
-
Dear Team
Thank you so much for releasing the model.. I am trying to integrate the flux model for some use case for which I requires the unet, and image_encoder. I find in the FluxPipeline there exi…
-
![Screenshot1](https://github.com/user-attachments/assets/41a0d22d-4a4c-4d20-954d-70cf83b58e2c)
The canny is not even working at all. Please find the workflow attached, Am I doing something wrong?
…
-
- 2021
- https://arxiv.org/abs/2109.12036
自然言語は、階層的に支配された依存関係のパターンを示し、単語間の関係は線形順序ではなく構文構造に敏感である。
再帰ネットワークモデルは、曖昧なデータで訓練されると、階層的に敏感な方法で一般化できないことが多いが(McCoy et al,2020)、新しいTrans-former言語モデル(Vaswani…
e4exp updated
3 years ago
-
Hi, thanks for your outstanding work! I am trying to use meta-transformer to conduct image classification. I noticed that in the paper, you wrote "On image classification, with the help of CLIP [24] t…
-
PEFT finetuning (LoRA, adapter) raises the following warning for each FSDP-wrapped layer (transformer block in our case):
```python
The following parameters have requires_grad=True:
['transformer…