Introducing Triton: Open-source GPU programming for neural networks
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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
Faster TensorFlow models in Hugging Face Transformers
Scaling Kubernetes to 7,500 nodes
Fit More and Train Faster With ZeRO via DeepSpeed and FairScale
How we sped up transformer inference 100x for 🤗 API customers
DALL·E: Creating images from text