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Open-source gemma-4-e2b-it_audio-onecall-caption-ours model from namin0202 — available for download and self-hosting on Hugging Face.
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Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('namin0202/gemma-4-e2b-it_audio-onecall-caption-ours'); model = AutoModelForCausalLM.from_pretrained('namin0202/gemma-4-e2b-it_audio-onecall-caption-ours'); print('Loaded namin0202/gemma-4-e2b-it_audio-onecall-caption-ours')"Presumptive Specs:
Community reliability estimate · not official
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Provider
Learn how to use gemma-4-e2b-it_audio-onecall-caption-ours
💡 Tip: Start with the sample prompts above to see how gemma-4-e2b-it_audio-onecall-caption-ours works best.
Proven prompts shared by the community for this model