Xenova HF Staff whitphx HF Staff commited on
Commit
f269048
·
verified ·
1 Parent(s): a47f056

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 (526cd859d79c30d892f8cf8883eeb27526a77943)


Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>

README.md CHANGED
@@ -7,22 +7,22 @@ https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16 with ONNX weights t
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/@xenova/transformers) using:
11
  ```bash
12
- npm i @xenova/transformers
13
  ```
14
 
15
  **Example:** Zero-shot image classification w/ `Xenova/chinese-clip-vit-base-patch16`.
16
 
17
  ```javascript
18
- import { pipeline } from '@xenova/transformers';
19
 
20
  // Create zero-shot image classification pipeline
21
  const classifier = await pipeline('zero-shot-image-classification', 'Xenova/chinese-clip-vit-base-patch16');
22
 
23
  // Set image url and candidate labels
24
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/pikachu.png';
25
- const candidate_labels = ['杰尼龟', '妙蛙种子', '小火龙', '皮卡丘'] // Squirtle, Bulbasaur, Charmander, Pikachu in Chinese
26
 
27
  // Classify image
28
  const output = await classifier(url, candidate_labels);
 
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:** Zero-shot image classification w/ `Xenova/chinese-clip-vit-base-patch16`.
16
 
17
  ```javascript
18
+ import { pipeline } from '@huggingface/transformers';
19
 
20
  // Create zero-shot image classification pipeline
21
  const classifier = await pipeline('zero-shot-image-classification', 'Xenova/chinese-clip-vit-base-patch16');
22
 
23
  // Set image url and candidate labels
24
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/pikachu.png';
25
+ const candidate_labels = ['杰尼龟', '妙蛙种子', '小火龙', '皮卡丘']; // Squirtle, Bulbasaur, Charmander, Pikachu in Chinese
26
 
27
  // Classify image
28
  const output = await classifier(url, candidate_labels);
onnx/model_bnb4.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:feedb8619f19f61058e05ccd994c1d6febe98d5a1dc612245863994b33fad9e1
3
+ size 167009352
onnx/model_q4.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c64c40f177a8756c7831cdaa932bfb30187ef2e85266e54ec838259d34d3fe2e
3
+ size 177674264
onnx/model_q4f16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bec0c439e38110cb3a1aa95f1358ef79ceda8459b02f7f20a2a09900450c101a
3
+ size 131794439
onnx/model_uint8.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af7e63ff546c8c0dc8aab1b35b81e0ef30ddcd4a2c2c6789a2c1f024e0416107
3
+ size 190213447