Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel
Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel.
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Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel.
Opinion Classification with Kili and HuggingFace AutoTrain.
Director of Machine Learning Insights.
Getting Started with Transformers on Habana Gaudi.
Introducing Hugging Face for Education 🤗.
Supercharged Customer Service with Machine Learning.
CO2 Emissions and the 🤗 Hub: Leading the Charge.
Hierarchical text-conditional image generation with CLIP latents.
Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure. ” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring...
Machine Learning Experts - Lewis Tunstall.
Habana Labs and Hugging Face Partner to Accelerate Transformer Model Training.
Introducing Decision Transformers on Hugging Face 🤗.
Machine Learning Experts - Margaret Mitchell.
Announcing the 🤗 AI Research Residency Program.
Fine-Tune a Semantic Segmentation Model with a Custom Dataset.
Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia.
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
Guiding Text Generation with Constrained Beam Search in 🤗 Transformers.
A research agenda for assessing the economic impacts of code generation models.
We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.
Call for expressions of interest to study the economic impacts of large language models.
BERT 101 - State Of The Art NLP Model Explained.
Fine-Tune ViT for Image Classification with 🤗 Transformers.
We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two...
Getting Started with Sentiment Analysis using Python.
Making automatic speech recognition work on large files with Wav2Vec2 in 🤗 Transformers.
We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment...
We are introducing embeddings, a new endpoint in the OpenAI API that makes it easy to perform natural language and code tasks like semantic search, clustering, topic modeling, and classification.