whitphx HF Staff commited on
Commit
edc44ab
Β·
verified Β·
1 Parent(s): 90817ac

Add/update the quantized ONNX model files and README.md for Transformers.js v3

Browse files

## Applied Quantizations

### βœ… Based on `model.onnx` *with* slimming

↳ βœ… `int8`: `model_int8.onnx` (added)
↳ βœ… `uint8`: `model_uint8.onnx` (added)
↳ βœ… `q4`: `model_q4.onnx` (added)
↳ βœ… `q4f16`: `model_q4f16.onnx` (added)
↳ βœ… `bnb4`: `model_bnb4.onnx` (added)

### βœ… Based on `model.onnx` *with* slimming

↳ βœ… `int8`: `model_int8.onnx` (added)
↳ βœ… `uint8`: `model_uint8.onnx` (added)
↳ βœ… `q4`: `model_q4.onnx` (added)
↳ βœ… `q4f16`: `model_q4f16.onnx` (added)
↳ βœ… `bnb4`: `model_bnb4.onnx` (added)

README.md CHANGED
@@ -5,4 +5,20 @@ library_name: transformers.js
5
 
6
  https://huggingface.co/intfloat/e5-base 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 [πŸ€— 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/intfloat/e5-base 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 feature extraction.
16
+
17
+ ```js
18
+ import { pipeline } from '@huggingface/transformers';
19
+
20
+ const extractor = await pipeline('feature-extraction', 'Xenova/e5-base');
21
+ const output = await extractor('This is a simple test.');
22
+ ```
23
+
24
  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 [πŸ€— 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 sha256:94c017082700924c816e52591fd45ed20cb586f7dd597e18451b031ec183bc26
3
+ size 143893470
onnx/model_int8.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:923e53156ad45ee846f547e9a954c1d621c1ba3b7ca8140cb22d3536522942fc
3
+ size 109622402
onnx/model_q4.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3d6f764381f505fccb71a19ff44eb6bc75c0d81c90d2a51285cb031cc45df9e
3
+ size 149201358
onnx/model_q4f16.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d21b71e9746e9c1fe0bf25fd0a4e1efe0f0188d68ce7978ef7b9b2ce3551211
3
+ size 95979131
onnx/model_uint8.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2add2f7fbfa676819592d2759d2d000f28dd529f40dce721d4fe90a86edd773c
3
+ size 109622442