Instructions to use soleaf/carbon-500m-lora-promoter-expression-rank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use soleaf/carbon-500m-lora-promoter-expression-rank with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Fix PEFT adapter export and model card
Browse files
README.md
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model.eval()
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```
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## Scoring example
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```python
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- Dataset license: Creative Commons Attribution 4.0 International
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- Base model: `HuggingFaceBio/Carbon-500M`, Apache-2.0
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- Reproducibility package: https://github.com/muted-color/carbon-promoter-expression
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-
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model.eval()
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```
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`score.weight` is newly initialized when the base model is loaded as a sequence-classification model; this is expected. The trained regression head is loaded from the adapter in the next step.
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## Scoring example
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```python
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- Dataset license: Creative Commons Attribution 4.0 International
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- Base model: `HuggingFaceBio/Carbon-500M`, Apache-2.0
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- Reproducibility package: https://github.com/muted-color/carbon-promoter-expression
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seed_20260523/adapter_config.json
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{
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"base_model_name_or_path": "HuggingFaceBio/Carbon-500M",
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"bias": "none",
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"fan_in_fan_out": false,
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"lora_dropout": 0.05,
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"modules_to_save": [
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"score"
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],
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"peft_type": "LORA",
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"r": 8,
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"megatron_core": "megatron.core",
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"classifier",
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"score"
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"peft_version": "0.18.1",
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"use_rslora": false
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seed_20260523/adapter_model.safetensors
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seed_20260524/adapter_config.json
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{
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seed_20260525/adapter_config.json
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seed_20260525/adapter_model.safetensors
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