Instructions to use peng-lab/phoenix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use peng-lab/phoenix with timm:
import timm model = timm.create_model("hf-hub:peng-lab/phoenix", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Upload weights/flow/nest/multi/55um/20x/discrete/flow_model.pth with huggingface_hub
Browse files
weights/flow/nest/multi/55um/20x/discrete/flow_model.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbba219e7c247e1e369858dec548a60e886482e453d233bbda570f65499836d8
|
| 3 |
+
size 4814467461
|