This case study introduces a deep technical collaboration between Databricks and Hugging Face, aimed at addressing the efficiency and cost challenges…
With the explosion of foundation models and large language models (LLMs), enterprises are eager to incorporate these powerful technologies into real-world…
This classic blog post from Hugging Face provides an extremely valuable hands-on guide for the open-source community, detailing how to fine-tune the LLaMA…
ControlNet is a revolutionary technique that allows users to provide additional spatial conditioning — such as Canny edges, human pose skeletons, and depth…
After ChatGPT swept the globe in early 2023, the open-source community was desperately searching for self-controllable, low-cost alternatives. Meta's release…
In March 2023, Stanford University released the Alpaca model — a fine-tuned version of Meta's LLaMA-7B model trained on 52,000 instruction-following examples…
This technical blog post from Hugging Face introduces how to combine TRL (Transformer Reinforcement Learning) and PEFT (Parameter-Efficient Fine-Tuning)…
As the parameter scale of large language models (LLMs) continues to grow, full fine-tuning has become prohibitively expensive and impractical. To lower the…
This classic blog post from Hugging Face provides a detailed guide on how to use LoRA (Low-Rank Adaptation) technology to efficiently fine-tune Stable…
As the scale of deep learning models (such as Transformers) continues to grow, training these models demands enormous computational resources and time. To help…
As large language models (LLMs) and generative AI exploded in popularity, demand for computing power surged dramatically, leaving Nvidia GPUs (such as the…
### The Rise of Protein Deep Learning Following the success of AlphaFold 2, artificial intelligence has achieved a revolutionary breakthrough in structural…
OpenAI's Whisper is a powerful automatic speech recognition (ASR) model. While its zero-shot capabilities are impressive, there remains significant room for…
This classic technical blog post from Hugging Face systematically guides developers in understanding and mastering distributed training techniques within the…
This is a practical guide authored by Hugging Face, aimed at teaching developers how to train and fine-tune Sentence Transformers models to generate…
This hands-on guide from the official Hugging Face blog provides a detailed walkthrough of how to use natural language processing (NLP) techniques to perform…
This official blog post from Hugging Face aims to provide ML beginners with a clear, approachable entry point into the field. In the past, starting an ML…
As AI model scale has grown exponentially, training large models with billions of parameters has become the norm — but this also presents enormous hardware…
This practical tutorial from Hugging Face provides a detailed guide on how to fine-tune the SegFormer model on a custom dataset for semantic segmentation…
BERT (Bidirectional Encoder Representations from Transformers) is a landmark natural language processing (NLP) model proposed by Google in 2018. This Hugging…
This is an official tutorial article from Hugging Face that guides developers on how to fine-tune a Vision Transformer (ViT) model for image classification…
This is a practical tutorial guide written by Hugging Face, designed to help developers and data scientists quickly get started with sentiment analysis using…
This blog post introduces the integration of Hugging Face's AutoNLP (now evolved into AutoTrain) with Prodigy, the popular data annotation tool developed by…
While GPUs dominate deep learning training today, a collaboration between Intel and Hugging Face demonstrates that through software and hardware optimization…
Automatic speech recognition (ASR) has achieved remarkable success for resource-rich languages such as English and standard Mandarin, but building…
This blog post from the Hugging Face community provides a detailed walkthrough of how to fine-tune OpenAI's CLIP (Contrastive Language-Image Pre-training)…
This technical guide, published by Hugging Face in 2021, details how to use Amazon SageMaker's managed infrastructure and distributed training capabilities to…
This is a landmark technical tutorial published by the Hugging Face team in 2021, detailing how to fine-tune Meta AI's Wav2Vec2 model using the Hugging Face…
In the field of natural language processing (NLP), sequence-to-sequence (Seq2Seq) models — such as those used for translation or summarization — typically…
This classic article from the official Hugging Face blog provides a detailed guide on how to integrate Hugging Face's `Transformers` library with the powerful…