Instructions to use aaa12963337/msi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aaa12963337/msi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aaa12963337/msi") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("aaa12963337/msi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
363bb63
1
Parent(s): e4d7b87
Training in progress, epoch 9
Browse files- config.json +12 -12
- model.safetensors +2 -2
- training_args.bin +2 -2
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "shi-labs/nat-
|
| 3 |
"architectures": [
|
| 4 |
"NatForImageClassification"
|
| 5 |
],
|
|
@@ -7,14 +7,14 @@
|
|
| 7 |
"depths": [
|
| 8 |
3,
|
| 9 |
4,
|
| 10 |
-
|
| 11 |
5
|
| 12 |
],
|
| 13 |
-
"drop_path_rate": 0.
|
| 14 |
-
"embed_dim":
|
| 15 |
"hidden_act": "gelu",
|
| 16 |
"hidden_dropout_prob": 0.0,
|
| 17 |
-
"hidden_size":
|
| 18 |
"id2label": {
|
| 19 |
"0": "0",
|
| 20 |
"1": "1"
|
|
@@ -26,15 +26,15 @@
|
|
| 26 |
"1": "1"
|
| 27 |
},
|
| 28 |
"layer_norm_eps": 1e-05,
|
| 29 |
-
"layer_scale_init_value":
|
| 30 |
-
"mlp_ratio":
|
| 31 |
"model_type": "nat",
|
| 32 |
"num_channels": 3,
|
| 33 |
"num_heads": [
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
| 37 |
-
|
| 38 |
],
|
| 39 |
"num_layers": 4,
|
| 40 |
"out_features": [
|
|
@@ -55,5 +55,5 @@
|
|
| 55 |
"stage4"
|
| 56 |
],
|
| 57 |
"torch_dtype": "float32",
|
| 58 |
-
"transformers_version": "4.
|
| 59 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "shi-labs/nat-small-in1k-224",
|
| 3 |
"architectures": [
|
| 4 |
"NatForImageClassification"
|
| 5 |
],
|
|
|
|
| 7 |
"depths": [
|
| 8 |
3,
|
| 9 |
4,
|
| 10 |
+
18,
|
| 11 |
5
|
| 12 |
],
|
| 13 |
+
"drop_path_rate": 0.3,
|
| 14 |
+
"embed_dim": 96,
|
| 15 |
"hidden_act": "gelu",
|
| 16 |
"hidden_dropout_prob": 0.0,
|
| 17 |
+
"hidden_size": 768,
|
| 18 |
"id2label": {
|
| 19 |
"0": "0",
|
| 20 |
"1": "1"
|
|
|
|
| 26 |
"1": "1"
|
| 27 |
},
|
| 28 |
"layer_norm_eps": 1e-05,
|
| 29 |
+
"layer_scale_init_value": 1e-05,
|
| 30 |
+
"mlp_ratio": 2.0,
|
| 31 |
"model_type": "nat",
|
| 32 |
"num_channels": 3,
|
| 33 |
"num_heads": [
|
| 34 |
+
3,
|
| 35 |
+
6,
|
| 36 |
+
12,
|
| 37 |
+
24
|
| 38 |
],
|
| 39 |
"num_layers": 4,
|
| 40 |
"out_features": [
|
|
|
|
| 55 |
"stage4"
|
| 56 |
],
|
| 57 |
"torch_dtype": "float32",
|
| 58 |
+
"transformers_version": "4.35.2"
|
| 59 |
}
|
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 sha256:7f265f7a2303dfd93e9881053d598391f1f952a9f66b92f206058f9b6644fc28
|
| 3 |
+
size 199971764
|
training_args.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:ad3afe2b1af036b8f80d100fc1fc0b3ddabae2c6e748814c2a8c1dc59961e5a1
|
| 3 |
+
size 4091
|