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README.md
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library_name: transformers
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datasets:
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- bigcode/the-stack-v2
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license: bigcode-openrail-m
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base_model:
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- andreagurioli1995/ModularStarEncoder
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<!-- Provide a quick summary of what the model is/does. -->
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ModularStarEncoder-finetuned is an encoder built on top of [ModularStarEncoder-1B Pre-trained](https://huggingface.co/andreagurioli1995/ModularStarEncoder) on [SynthCode2Code2NL](
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ModularStarEncoder fine-tuned is an encoder for various retrieval tasks, enabling the end user to select the model size that meets their memory and computational constraints.
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We built ModularStarEncoder on top of [StarCoder-2](https://huggingface.co/bigcode/starcoder2-15b), reducing its size from 15B to 1B parameters in bfloat16.
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library_name: transformers
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datasets:
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- bigcode/the-stack-v2
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- andreagurioli1995/SynthCode2Code2NL-neardedup
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license: bigcode-openrail-m
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base_model:
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- andreagurioli1995/ModularStarEncoder
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<!-- Provide a quick summary of what the model is/does. -->
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ModularStarEncoder-finetuned is an encoder built on top of [ModularStarEncoder-1B Pre-trained](https://huggingface.co/andreagurioli1995/ModularStarEncoder) on [SynthCode2Code2NL](https://huggingface.co/datasets/andreagurioli1995/SynthCode2Code2NL-neardedup).
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ModularStarEncoder fine-tuned is an encoder for various retrieval tasks, enabling the end user to select the model size that meets their memory and computational constraints.
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We built ModularStarEncoder on top of [StarCoder-2](https://huggingface.co/bigcode/starcoder2-15b), reducing its size from 15B to 1B parameters in bfloat16.
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