Instructions to use mwalmsley/baseline-encoder-regression-convnext_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/baseline-encoder-regression-convnext_base with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-regression-convnext_base", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6769a891197cd4f2d30d90d88ada0fb4aca044d561a4b12cd97c3b5fd3b1552a
|
| 3 |
+
size 350300096
|