Any-to-Any
Transformers
Safetensors
English
gemma3n
image-text-to-text
text-generation-inference
unsloth
Instructions to use rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning") model = AutoModelForMultimodalLM.from_pretrained("rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download processor_config.json from rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning: direct link, hf CLI and curl.
- Browser
- Download file 115 Bytes
-
https://huggingface.co/rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning/resolve/main/processor_config.json
- Command line
-
hf download hf://rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/rizkysulaeman/Gemma3N-4B-Conv-MM-Img-Audio-Text-Code-Reasoning/resolve/main/processor_config.json
115 Bytes
| { | |
| "audio_seq_length": 188, | |
| "image_seq_length": 256, | |
| "processor_class": "_Unsloth_Patched_Gemma3nProcessor" | |
| } | |