Upload folder using huggingface_hub
Browse files- README.md +9 -0
- config.json +33 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- preprocessor_config.json +23 -0
- quantize_config.json +18 -0
README.md
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers.js
|
3 |
+
base_model:
|
4 |
+
- Falconsai/nsfw_image_detection
|
5 |
+
---
|
6 |
+
|
7 |
+
# nsfw_image_detection (ONNX)
|
8 |
+
|
9 |
+
This is an ONNX version of [Falconsai/nsfw_image_detection](https://huggingface.co/Falconsai/nsfw_image_detection). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
|
config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_attn_implementation_autoset": true,
|
3 |
+
"_name_or_path": "Falconsai/nsfw_image_detection",
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "normal",
|
14 |
+
"1": "nsfw"
|
15 |
+
},
|
16 |
+
"image_size": 224,
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"label2id": {
|
20 |
+
"normal": "0",
|
21 |
+
"nsfw": "1"
|
22 |
+
},
|
23 |
+
"layer_norm_eps": 1e-12,
|
24 |
+
"model_type": "vit",
|
25 |
+
"num_attention_heads": 12,
|
26 |
+
"num_channels": 3,
|
27 |
+
"num_hidden_layers": 12,
|
28 |
+
"patch_size": 16,
|
29 |
+
"problem_type": "single_label_classification",
|
30 |
+
"qkv_bias": true,
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.49.0"
|
33 |
+
}
|
onnx/model.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a4316a4fb750169ac4fcabaabee1fcbd982b0ee8c0cc63fe3e944954bb9a7d9c
|
3 |
+
size 343401688
|
onnx/model_bnb4.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4cc0760de88fd07611c0e0116d0e2844c5b30dac6220a93efe70ad9a181cb724
|
3 |
+
size 51450010
|
onnx/model_fp16.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:edf335fa01a597a65e339ca953609b3741477470e20aa3e683a0bdde104d8471
|
3 |
+
size 171801382
|
onnx/model_int8.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bdc941491cd09ae75c5f40b038a5cd64482fa4e2b5297747323c5cda31303920
|
3 |
+
size 87333629
|
onnx/model_q4.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c68b125d5d8f557329a8c8fc88cc38c06a12c27ee45aaa03a554d07a89180d3
|
3 |
+
size 56757898
|
onnx/model_q4f16.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f581e1a74222549c96af999558da547812a1fb74d038db71a3348d4a212a5c7d
|
3 |
+
size 49718585
|
onnx/model_quantized.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9afb1e057104e6cc8616d174f0f6a8b8b0389c839eea7d5efa4bdf1a77efd27
|
3 |
+
size 87333629
|
onnx/model_uint8.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d9afb1e057104e6cc8616d174f0f6a8b8b0389c839eea7d5efa4bdf1a77efd27
|
3 |
+
size 87333629
|
preprocessor_config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.5,
|
8 |
+
0.5,
|
9 |
+
0.5
|
10 |
+
],
|
11 |
+
"image_processor_type": "ViTFeatureExtractor",
|
12 |
+
"image_std": [
|
13 |
+
0.5,
|
14 |
+
0.5,
|
15 |
+
0.5
|
16 |
+
],
|
17 |
+
"resample": 2,
|
18 |
+
"rescale_factor": 0.00392156862745098,
|
19 |
+
"size": {
|
20 |
+
"height": 224,
|
21 |
+
"width": 224
|
22 |
+
}
|
23 |
+
}
|
quantize_config.json
ADDED
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"modes": [
|
3 |
+
"fp16",
|
4 |
+
"q8",
|
5 |
+
"int8",
|
6 |
+
"uint8",
|
7 |
+
"q4",
|
8 |
+
"q4f16",
|
9 |
+
"bnb4"
|
10 |
+
],
|
11 |
+
"per_channel": true,
|
12 |
+
"reduce_range": true,
|
13 |
+
"block_size": null,
|
14 |
+
"is_symmetric": true,
|
15 |
+
"accuracy_level": null,
|
16 |
+
"quant_type": 1,
|
17 |
+
"op_block_list": null
|
18 |
+
}
|