Instructions to use ContentLens-AI/Audio-optim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ContentLens-AI/Audio-optim with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ContentLens-AI/Audio-optim") model = AutoModelForMultimodalLM.from_pretrained("ContentLens-AI/Audio-optim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from ContentLens-AI/Audio-optim: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
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https://huggingface.co/ContentLens-AI/Audio-optim/resolve/main/README.md
- Command line
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hf download hf://ContentLens-AI/Audio-optim/README.md
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curl -L -o README.md https://huggingface.co/ContentLens-AI/Audio-optim/resolve/main/README.md
286 Bytes
metadata
library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:
- google/gemma-4-E4B
Its basically a Gemma4 E4B but optimized for audio and video analysis and image analysis on limited resources.