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 (80e4114f899342053112addd7e7c73730e26dd91)
Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>
- README.md +3 -3
- 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
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@@ -7,14 +7,14 @@ https://huggingface.co/apple/mobilevit-xx-small with ONNX weights to be compatib
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## Usage (Transformers.js)
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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/@
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```bash
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npm i @
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```
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**Example:** Perform image classification with `Xenova/mobilevit-xx-small`
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```js
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import { pipeline } from '@
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// Create an image classification pipeline
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const classifier = await pipeline('image-classification', 'Xenova/mobilevit-xx-small', {
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## Usage (Transformers.js)
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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:
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```bash
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npm i @huggingface/transformers
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```
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**Example:** Perform image classification with `Xenova/mobilevit-xx-small`
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```js
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import { pipeline } from '@huggingface/transformers';
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// Create an image classification pipeline
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const classifier = await pipeline('image-classification', 'Xenova/mobilevit-xx-small', {
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onnx/model_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:814f73ab0f5bd6d73224d610db9bd43d1f0a419173a76e9bd14d16091fda65d0
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size 3640247
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:f841cbe84aa968ae4bd873a8cf2501655ef11ef560144790993f80c4e738136f
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size 3689768
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onnx/model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2e93362ee0365c9fb265ef48c34fa5afd310b21a94ce9cb2ff8d62322c52b25
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size 2100369
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c2ee4f8deba3afca4aaee9a31975ba3f793ac92129d6786a15403867561e17aa
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size 1711622
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