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

README.md

@@ -11,15 +11,15 @@ https://huggingface.co/facebook/nougat-small with ONNX weights to be compatible
 
 ## Usage (Transformers.js)
 
-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:
+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:
 ```bash
-npm i @xenova/transformers
+npm i @huggingface/transformers
 ```
 
 You can then use the model to convert images of scientific PDFs into markdown like this:
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 // Create an image-to-text pipeline
 const pipe = await pipeline('image-to-text', 'Xenova/nougat-small');
@@ -35,7 +35,6 @@ console.log(output);
 // [{ generated_text: "# Nougat: Neural Optical Understanding for Academic Documents\n\nLukas Blecher\n\nCorrespondence to: lblecher@meta.com\n\nGuillem Cucur" }]
 ```
 
-
 ---
 
 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/decoder_model_bnb4.onnx

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onnx/decoder_model_fp16.onnx

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onnx/decoder_model_int8.onnx

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onnx/decoder_model_merged_bnb4.onnx

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onnx/decoder_model_merged_fp16.onnx

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onnx/decoder_model_merged_q4.onnx

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