task190_snli_classification
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README.md
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- **Repository:** https://github.com/bruel-gabrielsson
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- **Paper [optional]:** Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead, 2024, Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin and Justin Solomon
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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### Training Procedure
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/bruel-gabrielsson
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- **Paper [optional]:** "Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead", 2024, Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin and Justin Solomon
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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task190_snli_classification
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### Training Procedure
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