This adds the two files needed for `diffusers` to load the pipeline directly via `DFlashPipeline.from_pretrained`:
- `model_index.json` — declares `DFlashPipeline` as the pipeline class and points
`_target_model_name_or_path` to the target/verifier model
- `scheduler/scheduler_config.json` — config for `DFlashTokenDiffusionScheduler`
After merging, the pipeline can be loaded with:
```python
import torch
from diffusers import DFlashPipeline
pipe = DFlashPipeline.from_pretrained(
"z-lab/Alpamayo-R1-10B-DFlash",
torch_dtype=torch.bfloat16,
device_map="auto",
)
out = pipe(prompt="Hello, world!")
print(out.texts[0])
```
Model card: add subtitle + shield badges (house style)
