Image Feature Extraction
timm
PyTorch
Safetensors
red-blood-cells
hematology
medical-imaging
vision-transformer
dino
dinov2
foundation-model
Eval Results (legacy)
Instructions to use Snarcy/RedDino-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Snarcy/RedDino-small with timm:
import timm model = timm.create_model("hf_hub:Snarcy/RedDino-small", pretrained=True) - Notebooks
- Google Colab
- Kaggle
RedDino_config
Browse files- config.json +2 -2
- model.safetensors +2 -2
- pytorch_model.bin +2 -2
config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
-
"architecture": "
|
| 3 |
"num_classes": 0,
|
| 4 |
-
"num_features":
|
| 5 |
"global_pool": "token",
|
| 6 |
"pretrained_cfg": {
|
| 7 |
"tag": "lvd142m",
|
|
|
|
| 1 |
{
|
| 2 |
+
"architecture": "vit_small_patch14_dinov2",
|
| 3 |
"num_classes": 0,
|
| 4 |
+
"num_features": 384,
|
| 5 |
"global_pool": "token",
|
| 6 |
"pretrained_cfg": {
|
| 7 |
"tag": "lvd142m",
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:848aa4aa10122d211e486314c6e4bb3f39ac071a5ff221ca3245a90a29bfd9a3
|
| 3 |
+
size 86530944
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55d84e3ef0bb8a71bdbb4487dd09415d2ba178fa1b47d37137576a5b06df92b1
|
| 3 |
+
size 86578690
|