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洞察 AI 的每一個瞬間
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今天是
2026 年 07 月 11 日
六
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Deep Learning over the Internet: Training Language Models Collaboratively
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Deploy Hugging Face models easily with Amazon SageMaker
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Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API
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Using & Mixing Hugging Face Models with Gradio 2.0
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Scaling-up BERT Inference on CPU (Part 1)
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Introducing 🤗 Accelerate
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Distributed Training: Train BART/T5 for Summarization using 🤗 Transformers and Amazon SageMaker
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Understanding BigBird's Block Sparse Attention
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The Partnership: Amazon SageMaker and Hugging Face
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My Journey to a serverless transformers pipeline on Google Cloud
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Fine-Tune Wav2Vec2 for English ASR in Hugging Face with 🤗 Transformers
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Hugging Face Reads, Feb. 2021 - Long-range Transformers
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Simple considerations for simple people building fancy neural networks
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Retrieval Augmented Generation with Huggingface Transformers and Ray
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Hugging Face on PyTorch / XLA TPUs
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Faster TensorFlow models in Hugging Face Transformers
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Fit More and Train Faster With ZeRO via DeepSpeed and FairScale
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How we sped up transformer inference 100x for 🤗 API customers
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Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models
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Porting fairseq wmt19 translation system to transformers
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Hyperparameter Search with Transformers and Ray Tune
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Transformer-based Encoder-Decoder Models
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Block Sparse Matrices for Smaller and Faster Language Models
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The Reformer - Pushing the limits of language modeling
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How to generate text: using different decoding methods for language generation with Transformers
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How to train a new language model from scratch using Transformers and Tokenizers
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OlmoEarth v1.1: A more efficient family of models
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Introducing the Ettin Reranker Family
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