4 articles
Hugging Face releases a guide to fine-tune Vision Transformer (ViT) for image classification tasks using the Transformers library. The tutorial covers loading pre-trained models, data preparation, and training on custom datasets.
OpenAI built a neural theorem prover for Lean that solves challenging high-school olympiad math problems, including AMC12, AIME competitions, and two problems adapted from the IMO.
Introductory guide to sentiment analysis in Python using Hugging Face. Leverages pre-trained models and the transformers library to classify text sentiment.
Hugging Face releases guidance on using Wav2Vec2 for large audio files. The approach chunks files and processes segments in parallel, overcoming memory constraints in speech recognition models.