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Thanks for sharing your work. Did you try fine-tuning on relevant species after pre-training on XCL?
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Hi, just wanted to know by when you guys are planning on releasing the fine registration code.
Great Work done by you guys!
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Dear @Lavreniuk,
Thank you for your grat work. May I inquire about the pre-trained KITTI model used for fine-tuning Cityscape?
Is it the 1024x320 KITTI model that utilizes ConvNeXt?
Your insi…
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# pip install image-reward
# pip install diffusers==0.16.0 accelerate==0.16.0 datasets==2.11.0
from ImageReward import ReFL
args = ReFL.parse_args()
trainer = ReFL.Trainer("CompVis/stable-diffusio…
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First and foremost, thank you for your outstanding work on this project. We‘d like to follow this work and fine-tune a model from deepseek-coder 1.3B by your datasets. But we cannot achieve a promisin…
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Thanks for this awesome work. Any plans to release the checkpoint of the ERA5 fine-tune verision?
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After a brief period using Helix and coming back to Emacs I noticed that Helix highlights more stuff than this mode.
Helix:
![image](https://github.com/user-attachments/assets/53863156-3cee-446e-…
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Hello,
Thank you for the great work!
Do you plan to release some code to demonstrate fine tuning the models?
Thank you
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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See screenshot below for garbled output during the "Evaluation" step of the fine-tuning snack recipe.