Instructions to use facebook/PE-Spatial-B16-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PerceptionEncoder
How to use facebook/PE-Spatial-B16-512 with PerceptionEncoder:
# Use any PE model as a vision encoder import core.vision_encoder.pe as pe model = pe.VisionTransformer.from_config("facebook/PE-Spatial-B16-512", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update model
Browse files- PE-Spatial-B16-512.pt +1 -1
PE-Spatial-B16-512.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 345783707
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86217607f0bb28c0adb5ac3f9b0608ae22f6fb634bf1c16b2316847e8148a2a5
|
| 3 |
size 345783707
|