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The model is finetuned with [CLIP objective](https://github.com/mlfoundations/open_clip/blob/main/src/open_clip/loss.py)
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ModularStarEncoder fine-tuned works with instruction prompts; to get the most out of the model, embed the task in the input. The How to Use section below provides more details.
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- **Paper:** [
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- **Languages:** English, Go, Ruby, Python, Java, C++, PHP, C, JavaScript
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- **Different sizes:** [Layer 4](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-4), [Layer 9](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-9), [Layer 18](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-18), [Layer 27](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27), [Layer 36](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned)
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The model is finetuned with [CLIP objective](https://github.com/mlfoundations/open_clip/blob/main/src/open_clip/loss.py)
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ModularStarEncoder fine-tuned works with instruction prompts; to get the most out of the model, embed the task in the input. The How to Use section below provides more details.
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- **Paper:** [One Model to Train them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings](https://arxiv.org/abs/2503.03008)
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- **Languages:** English, Go, Ruby, Python, Java, C++, PHP, C, JavaScript
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- **Different sizes:** [Layer 4](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-4), [Layer 9](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-9), [Layer 18](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-18), [Layer 27](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned-27), [Layer 36](https://huggingface.co/modularStarEncoder/ModularStarEncoder-finetuned)
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