Instructions to use deepghs/timms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use deepghs/timms with timm:
import timm model = timm.create_model("hf_hub:deepghs/timms", pretrained=True) - Notebooks
- Google Colab
- Kaggle
narugo1992 commited on
Export model 'vit_small_patch16_224.augreg_in1k', on 2025-01-20 05:32:32 UTC
Browse files
README.md
CHANGED
|
@@ -114,7 +114,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
|
|
| 114 |
|
| 115 |
# Models
|
| 116 |
|
| 117 |
-
|
| 118 |
|
| 119 |
## Beit
|
| 120 |
|
|
@@ -676,7 +676,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
|
|
| 676 |
|
| 677 |
## VisionTransformer
|
| 678 |
|
| 679 |
-
|
| 680 |
|
| 681 |
| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
|
| 682 |
|:-------------------------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:------------------|:---------------------------------|:-------------|
|
|
@@ -710,6 +710,7 @@ ONNX export version from [TIMM](https://huggingface.co/timm).
|
|
| 710 |
| [flexivit_small.300ep_in1k](https://huggingface.co/timm/flexivit_small.300ep_in1k) | 22.0M | 4.9G | 240 | True | 384 | 1000 | imagenet-1k | VisionTransformer | flexivit_small | 2022-12-22 |
|
| 711 |
| [vit_base_patch32_224.sam_in1k](https://huggingface.co/timm/vit_base_patch32_224.sam_in1k) | 88.2M | 4.4G | 224 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch32_224 | 2022-12-22 |
|
| 712 |
| [vit_base_patch32_224.augreg_in21k_ft_in1k](https://huggingface.co/timm/vit_base_patch32_224.augreg_in21k_ft_in1k) | 88.2M | 4.4G | 224 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch32_224 | 2022-12-22 |
|
|
|
|
| 713 |
| [test_vit2.r160_in1k](https://huggingface.co/timm/test_vit2.r160_in1k) | 448.2K | 38.5M | 160 | True | 64 | 1000 | imagenet-1k | VisionTransformer | test_vit2 | 2024-09-22 |
|
| 714 |
| [test_vit.r160_in1k](https://huggingface.co/timm/test_vit.r160_in1k) | 364.7K | 30.1M | 160 | True | 64 | 1000 | imagenet-1k | VisionTransformer | test_vit | 2024-07-22 |
|
| 715 |
|
|
|
|
| 114 |
|
| 115 |
# Models
|
| 116 |
|
| 117 |
+
270 models exported from TIMM in total.
|
| 118 |
|
| 119 |
## Beit
|
| 120 |
|
|
|
|
| 676 |
|
| 677 |
## VisionTransformer
|
| 678 |
|
| 679 |
+
33 models with model class `VisionTransformer`.
|
| 680 |
|
| 681 |
| Name | Params | Flops | Input Size | Can Classify | Features | Classes | Dataset | Model | Architecture | Created At |
|
| 682 |
|:-------------------------------------------------------------------------------------------------------------------------------------------------|:---------|:--------|-------------:|:---------------|-----------:|----------:|:-------------|:------------------|:---------------------------------|:-------------|
|
|
|
|
| 710 |
| [flexivit_small.300ep_in1k](https://huggingface.co/timm/flexivit_small.300ep_in1k) | 22.0M | 4.9G | 240 | True | 384 | 1000 | imagenet-1k | VisionTransformer | flexivit_small | 2022-12-22 |
|
| 711 |
| [vit_base_patch32_224.sam_in1k](https://huggingface.co/timm/vit_base_patch32_224.sam_in1k) | 88.2M | 4.4G | 224 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch32_224 | 2022-12-22 |
|
| 712 |
| [vit_base_patch32_224.augreg_in21k_ft_in1k](https://huggingface.co/timm/vit_base_patch32_224.augreg_in21k_ft_in1k) | 88.2M | 4.4G | 224 | True | 768 | 1000 | imagenet-1k | VisionTransformer | vit_base_patch32_224 | 2022-12-22 |
|
| 713 |
+
| [vit_small_patch16_224.augreg_in1k](https://huggingface.co/timm/vit_small_patch16_224.augreg_in1k) | 22.0M | 4.2G | 224 | True | 384 | 1000 | imagenet-1k | VisionTransformer | vit_small_patch16_224 | 2022-12-22 |
|
| 714 |
| [test_vit2.r160_in1k](https://huggingface.co/timm/test_vit2.r160_in1k) | 448.2K | 38.5M | 160 | True | 64 | 1000 | imagenet-1k | VisionTransformer | test_vit2 | 2024-09-22 |
|
| 715 |
| [test_vit.r160_in1k](https://huggingface.co/timm/test_vit.r160_in1k) | 364.7K | 30.1M | 160 | True | 64 | 1000 | imagenet-1k | VisionTransformer | test_vit | 2024-07-22 |
|
| 716 |
|
models.parquet
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 sha256:53a7374ede06004149191734b438efb04549212f399cab09600156d9b78c0adc
|
| 3 |
+
size 25036
|
vit_small_patch16_224.augreg_in1k/meta.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9db47ac16a3076cb7f97550328b6549f22fefad6ae3d846af055ab6ca82002b9
|
| 3 |
+
size 169841
|
vit_small_patch16_224.augreg_in1k/model.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6155a5ff2701d9ab80e11b6cf7b092dde3bdffd92fdef86b543625d79734db47
|
| 3 |
+
size 88374855
|
vit_small_patch16_224.augreg_in1k/preprocess.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75c033d894bbd7f7cf6880042701e974ed810733c52b2db8b094efeebf78fed2
|
| 3 |
+
size 642
|