Image-Text-to-Text
PEFT
Safetensors
English
lora
grpo
reinforcement-learning
image-to-code
code-generation
photonics
gds
gdsfactory
Instructions to use qpaig-mit/pixcell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qpaig-mit/pixcell with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "qpaig-mit/pixcell") - Notebooks
- Google Colab
- Kaggle
Upload assets/gallery.png with huggingface_hub
Browse files- .gitattributes +1 -0
- assets/gallery.png +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
assets/gallery.png filter=lfs diff=lfs merge=lfs -text
|
assets/gallery.png
ADDED
|
Git LFS Details
|