Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)
Browse files- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (f8c430cbef176fa408edd3f2228f6435e2b041d4)
Co-authored-by: Yuichiro Tachibana <[email protected]>
- README.md +17 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
README.md
CHANGED
@@ -5,4 +5,21 @@ library_name: transformers.js
|
|
5 |
|
6 |
https://huggingface.co/facebook/detr-resnet-101 with ONNX weights to be compatible with Transformers.js.
|
7 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
8 |
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
|
|
|
5 |
|
6 |
https://huggingface.co/facebook/detr-resnet-101 with ONNX weights to be compatible with Transformers.js.
|
7 |
|
8 |
+
## Usage (Transformers.js)
|
9 |
+
|
10 |
+
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
|
11 |
+
```bash
|
12 |
+
npm i @huggingface/transformers
|
13 |
+
```
|
14 |
+
|
15 |
+
**Example:** Run object-detection.
|
16 |
+
|
17 |
+
```js
|
18 |
+
import { pipeline } from '@huggingface/transformers';
|
19 |
+
|
20 |
+
const detector = await pipeline('object-detection', 'Xenova/detr-resnet-101');
|
21 |
+
const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
|
22 |
+
const output = await detector(img, { threshold: 0.9 });
|
23 |
+
```
|
24 |
+
|
25 |
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
|
onnx/model_bnb4.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:621463813e44bee007f5b9fa2f965f4457c0eeefa859a895f18448a8012a8b4c
|
3 |
+
size 182857012
|
onnx/model_q4.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a5b513934a2666feaf51dbe7d76e45b0469e713cfad2dafd6dabfe1001e2187
|
3 |
+
size 183947310
|
onnx/model_q4f16.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:114b3d13d023c33fe581dbdcd7bee87b859333ca070a0dcde3701234fa6cee6d
|
3 |
+
size 96642270
|
onnx/model_uint8.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2712292b974db62252ccff7b0aae45ec2671619df664bbbc82a2463915d79196
|
3 |
+
size 62031128
|