Instructions to use Abdullah6395/COT_LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abdullah6395/COT_LLM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LiquidAI/LFM2-350M", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Abdullah6395/COT_LLM") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df44b35c832816f33841015663b6ce192bad096be0dc9135ff66f090843ef7a5
|
| 3 |
+
size 175144
|
images/Screenshot from 2025-08-20 01-55-42.png
ADDED
|
Git LFS Details
|