Instructions to use thomasjvu/lisper-gemma4-e2b-audio-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thomasjvu/lisper-gemma4-e2b-audio-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-e2b-it-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "thomasjvu/lisper-gemma4-e2b-audio-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
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Publish v18 eval verdict
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Publish v18 hybrid eval summary
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Finalize Lisper E2B LoRA model card
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Upload v16 corrected Lisper Gemma 4 audio LoRA
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Add files using upload-large-folder tool
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Add files using upload-large-folder tool
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initial commit
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