Update README.md

README.md

@@ -4,7 +4,7 @@ pipeline_tag: image-classification
 license: other
 ---
 
-https://huggingface.co/timm/fastvit_t8.apple_dist_in1k with ONNX weights to be compatible with Transformers.js.
+https://huggingface.co/timm/fastvit_t12.apple_dist_in1k with ONNX weights to be compatible with Transformers.js.
 
 ## Usage (Transformers.js)
 
@@ -13,12 +13,12 @@ If you haven't already, you can install the [Transformers.js](https://huggingfac
 npm i @xenova/transformers
 ```
 
-**Example:** Perform image classification with `Xenova/fastvit_t8.apple_dist_in1k`.
+**Example:** Perform image classification with `Xenova/fastvit_t12.apple_dist_in1k`.
 ```js
 import { pipeline } from '@xenova/transformers';
 
 // Create an image classification pipeline
-const classifier = await pipeline('image-classification', 'Xenova/fastvit_t8.apple_dist_in1k', {
+const classifier = await pipeline('image-classification', 'Xenova/fastvit_t12.apple_dist_in1k', {
   quantized: false
 });
 
@@ -27,11 +27,11 @@ const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve
 const output = await classifier(url, { topk: 5 });
 console.log(output);
 // [
-//   { label: 'tiger, Panthera tigris', score: 0.7876936197280884 },
-//   { label: 'tiger cat', score: 0.08878856152296066 },
-//   { label: 'zebra', score: 0.0008800383075140417 },
-//   { label: 'Appenzeller', score: 0.0008539424743503332 },
-//   { label: 'jaguar, panther, Panthera onca, Felis onca', score: 0.0008008014992810786 }
+//   { label: 'tiger, Panthera tigris', score: 0.7830049991607666 },
+//   { label: 'tiger cat', score: 0.08560094237327576 },
+//   { label: 'lynx, catamount', score: 0.0005580639117397368 },
+//   { label: 'Bernese mountain dog', score: 0.0005574578535743058 },
+//   { label: 'Appenzeller', score: 0.0005380114307627082 }
 // ]
 ```