Add support for ConvNeXT (V1+V2) models

[xenova]

Example usage

• ConvNeXT:

  import { pipeline } from '@xenova/transformers';
  
  // Create image classification pipeline
  const classifier = await pipeline('image-classification', 'Xenova/convnext-tiny-224');
  
  // Classify an image
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
  const output = await classifier(url);
  console.log(output)
  // [{ label: 'tiger, Panthera tigris', score: 0.6153212785720825 }]

• ConvNeXT V2:

  import { pipeline } from '@xenova/transformers';
  
  // Create image classification pipeline
  const classifier = await pipeline('image-classification', 'Xenova/convnextv2-femto-1k-224');
  
  // Classify an image
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
  const output = await classifier(url);
  console.log(output)
  // [{ label: 'tiger, Panthera tigris', score: 0.5218687057495117 }]

Pre-converted models

• 15 ConvNeXT models: https://huggingface.co/models?library=transformers.js&other=convnext
• 14 ConvNeXT V2 models: https://huggingface.co/models?library=transformers.js&other=convnextv2