Supercharged Searching on the 🤗 Hub
Supercharged Searching on the 🤗 Hub.
Older items first published newest-to-oldest across the feed — page 116 of 123.
Supercharged Searching on the 🤗 Hub.
Text and code embeddings by contrastive pre-training.
Welcome Stable-baselines3 to the Hugging Face Hub 🤗.
Case Study: Millisecond Latency using Hugging Face Infinity and modern CPUs.
Boosting Wav2Vec2 with n-grams in 🤗 Transformers.
Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker.
Active Learning with AutoNLP and Prodigy.
Gradio is joining Hugging Face.
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.
Perceiver IO: a scalable, fully-attentional model that works on any modality.
Customizing GPT-3 for your application.
Training CodeParrot 🦜 from Scratch.
Introducing Snowball Fight ☃️, our first ML-Agents environment.
As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.
Getting Started with Hugging Face Transformers for IPUs with Optimum.
Introducing the Data Measurements Tool: an Interactive Tool for Looking at Datasets.
Accelerating PyTorch distributed fine-tuning with Intel technologies.
Wider availability made possible by safety progress.
Fine-Tune XLSR-Wav2Vec2 for low-resource ASR with 🤗 Transformers.
Scaling up BERT-like model Inference on modern CPU - Part 2.
We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12...
Large Language Models: A New Moore's Law.
Train a Sentence Embedding Model with 1B Training Pairs.
The Age of Machine Learning As Code Has Arrived.
Fine tuning CLIP with Remote Sensing (Satellite) images and captions.
Hosting your Models and Datasets on Hugging Face Spaces using Streamlit.
Showcase Your Projects in Spaces using Gradio.
Scaling human oversight of AI systems for tasks that are difficult to evaluate.