Instructions to use JunlongTong/StreamingLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JunlongTong/StreamingLLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JunlongTong/StreamingLLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: apache-2.0
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### Model Details
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We introduce a new streaming paradigm that enables large language models to achieve strong performance and generalization in streaming settings, without requiring any architectural modifications.
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* Batch-processing: The LLMs process inputs all at once after receiving the full sequence.
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license: apache-2.0
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---
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[Model checkpoints will be released soon.]
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### Model Details
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We introduce a new streaming paradigm that enables large language models to achieve strong performance and generalization in streaming settings, without requiring any architectural modifications.
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* Batch-processing: The LLMs process inputs all at once after receiving the full sequence.
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