Instructions to use emrevrg/AUBIN-E4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emrevrg/AUBIN-E4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "emrevrg/AUBIN-E4B") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- transformers
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- preview
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- base_model:adapter:google/gemma-4-E4B-it
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- lora
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- transformers
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# Model Card for Model ID
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> **🔬 Preview** — This model is under active development; stronger versions will be released in this repository.
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