Fine-Tune ViT for Image Classification with 🤗 Transformers

What changed

This paper explored how you can tokenize images, just as you would tokenize sentences, so that they can be passed to transformer models for training. It's quite a simple concept, really... It turns out that once you've done the above, you can pre-train and fine-tune transformers just as you're used to with NLP tasks.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Train and Fine-Tune Sentence Transformers Models
• Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers
• Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers

• Train and Fine-Tune Sentence Transformers Models similarity 0.37
• Fine-Tune Whisper For Multilingual ASR with 🤗 Transformers similarity 0.35
• Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers similarity 0.30