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Hugging Face Blog

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Recent Signals

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CyberSecQwen-4B: Why Defensive Cyber Needs Small, Specialized, Locally-Runnable Models

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EMO: Pretraining mixture of experts for emergent modularity

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MedQA: Fine-Tuning a Clinical AI on AMD ROCm

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How to train a new language model from scratch using Transformers and Tokenizers

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How to generate text: using different decoding methods for language generation with Transformers

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The Reformer

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Block Sparse Matrices for Smaller and Faster Language Models

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Transformer-based Encoder-Decoder Models

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Hyperparameter Search with Transformers and Ray Tune

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Porting fairseq wmt19 translation system to transformers

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Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models

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How we sped up transformer inference 100x for 🤗 API customers

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Fit More and Train Faster With ZeRO via DeepSpeed and FairScale

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Faster TensorFlow models in Hugging Face Transformers

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Hugging Face on PyTorch / XLA TPUs

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Retrieval Augmented Generation with Huggingface Transformers and Ray

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Simple considerations for simple people building fancy neural networks

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Hugging Face Reads, Feb. 2021 - Long-range Transformers

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Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers

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My Journey to a serverless transformers pipeline on Google Cloud

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The Partnership: Amazon SageMaker and Hugging Face

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Understanding BigBird's Block Sparse Attention

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Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker

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Introducing 🤗 Accelerate

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Scaling-up BERT Inference on CPU

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Using & Mixing Hugging Face Models with Gradio 2.0

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Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API

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Sentence Transformers in the Hugging Face Hub

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Deploy Hugging Face models easily with Amazon SageMaker

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Welcome spaCy to the Hugging Face Hub

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Deep Learning over the Internet: Training Language Models Collaboratively

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Introducing Optimum: The Optimization Toolkit for Transformers at Scale

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Hugging Face and Graphcore partner for IPU-optimized Transformers

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Summer at Hugging Face

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Showcase Your Projects in Spaces using Gradio

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Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

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Fine tuning CLIP with Remote Sensing (Satellite) images and captions

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The Age of Machine Learning As Code Has Arrived

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Train a Sentence Embedding Model with 1B Training Pairs

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Hugging Face Blog

Recent Signals

CyberSecQwen-4B: Why Defensive Cyber Needs Small, Specialized, Locally-Runnable Models

EMO: Pretraining mixture of experts for emergent modularity

MedQA: Fine-Tuning a Clinical AI on AMD ROCm

How to train a new language model from scratch using Transformers and Tokenizers

How to generate text: using different decoding methods for language generation with Transformers

The Reformer

Block Sparse Matrices for Smaller and Faster Language Models

Transformer-based Encoder-Decoder Models

Hyperparameter Search with Transformers and Ray Tune

Porting fairseq wmt19 translation system to transformers

Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models

How we sped up transformer inference 100x for 🤗 API customers

Fit More and Train Faster With ZeRO via DeepSpeed and FairScale

Faster TensorFlow models in Hugging Face Transformers

Hugging Face on PyTorch / XLA TPUs

Retrieval Augmented Generation with Huggingface Transformers and Ray

Simple considerations for simple people building fancy neural networks

Hugging Face Reads, Feb. 2021 - Long-range Transformers

Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers

My Journey to a serverless transformers pipeline on Google Cloud

The Partnership: Amazon SageMaker and Hugging Face

Understanding BigBird's Block Sparse Attention

Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker

Introducing 🤗 Accelerate

Scaling-up BERT Inference on CPU

Using & Mixing Hugging Face Models with Gradio 2.0

Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API

Sentence Transformers in the Hugging Face Hub

Deploy Hugging Face models easily with Amazon SageMaker

Welcome spaCy to the Hugging Face Hub

Deep Learning over the Internet: Training Language Models Collaboratively

Introducing Optimum: The Optimization Toolkit for Transformers at Scale

Hugging Face and Graphcore partner for IPU-optimized Transformers

Summer at Hugging Face

Showcase Your Projects in Spaces using Gradio

Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

Fine tuning CLIP with Remote Sensing (Satellite) images and captions

The Age of Machine Learning As Code Has Arrived

Train a Sentence Embedding Model with 1B Training Pairs

Large Language Models: A New Moore's Law?