Hugging Face and Graphcore partner for IPU-optimized Transformers
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Introducing Optimum: The Optimization Toolkit for Transformers at Scale
Helen Toner joins OpenAI’s board of directors
TruthfulQA: Measuring how models mimic human falsehoods
OpenAI Codex
Introducing Triton: Open-source GPU programming for neural networks
Deep Learning over the Internet: Training Language Models Collaboratively
Welcome spaCy to the Hugging Face Hub
Deploy Hugging Face models easily with Amazon SageMaker
Evaluating large language models trained on code
Sentence Transformers in the Hugging Face Hub
Improving language model behavior by training on a curated dataset
Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API
Using & Mixing Hugging Face Models with Gradio 2.0
OpenAI Scholars 2021: Final projects
Will Hurd joins OpenAI’s board of directors
Scaling-up BERT Inference on CPU (Part 1)
Introducing 🤗 Accelerate
Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon Sag…
Understanding BigBird's Block Sparse Attention
GPT-3 powers the next generation of apps
The Partnership: Amazon SageMaker and Hugging Face
My Journey to a serverless transformers pipeline on Google Cloud
Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers
Hugging Face Reads, Feb. 2021 - Long-range Transformers
Multimodal neurons in artificial neural networks
Simple considerations for simple people building fancy neural networks
Retrieval Augmented Generation with Huggingface Transformers and Ray
Hugging Face on PyTorch / XLA TPUs
Understanding the capabilities, limitations, and societal impact of large language models