Instructions to use madmax3366/sr_t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madmax3366/sr_t with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("madmax3366/sr_t", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- GRP-RL1-OneShotRLVR-pi1-zerobias
- GRP-RL2-LUFFY-Zero-zerobias
- GRP-SFT0-AceMath-zerobias
- GRP-SFT1-OpenMathNemotron-zerobias
- Llama-3.2-1B-zerobias
- Llama-3.2-3B-fullmaskearly
- Llama-3.2-3B-fullmasklate
- Llama-3.2-3B-zerobias
- Oat-Zero-1.5B-zerobias
- Qwen2.5-1.5B-fresh
- Qwen2.5-1.5B-zerobias
- Qwen2.5-Math-1.5B-cmpglobal
- Qwen2.5-Math-1.5B-cmpmean
- Qwen2.5-Math-1.5B-cmppca1
- Qwen2.5-Math-1.5B-cmppca4
- Qwen2.5-Math-1.5B-cmprand
- Qwen2.5-Math-1.5B-japprox106
- Qwen2.5-Math-1.5B-japprox106nm
- Qwen2.5-Math-1.5B-random106
- Qwen2.5-Math-1.5B-randomfinal
- Qwen2.5-Math-1.5B-residual106
- Qwen2.5-Math-1.5B-srband
- Qwen2.5-Math-1.5B-srbandJ
- Qwen2.5-Math-1.5B-srbandnonJ
- Qwen2.5-Math-1.5B-srbandrm
- Qwen2.5-Math-1.5B-srbandrnd
- Qwen2.5-Math-1.5B-srkeep0007
- Qwen2.5-Math-1.5B-srkeep0015
- Qwen2.5-Math-1.5B-srkeep0815
- Qwen2.5-Math-1.5B-srkeep2227
- Qwen2.5-Math-1.5B-zerobias-w4rtn
- Qwen2.5-Math-1.5B-zerobias
- assets
- e1s3model
- e1s4model
- g-early11
- g-late11
- g-randband1
- g-randband2
- g-randband3
- g-shufflefinal
- g-wsA
- g-wsAcomp
- g-wsB
- g-wsBcomp
- gemma-2-2b-zerobias
- gkeep0012
- gkeep1325
- gkeepA
- gkeepB