Instructions to use junnei/gemma-3-4b-it-speech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junnei/gemma-3-4b-it-speech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="junnei/gemma-3-4b-it-speech", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("junnei/gemma-3-4b-it-speech", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from junnei/gemma-3-4b-it-speech: direct link, hf CLI and curl.
- Browser
- Download file 154 Bytes
-
https://huggingface.co/junnei/gemma-3-4b-it-speech/resolve/korean/processor_config.json
- Command line
-
hf download hf://junnei/gemma-3-4b-it-speech@korean/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/junnei/gemma-3-4b-it-speech/resolve/korean/processor_config.json
154 Bytes
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_gemma3mm.Gemma3MMProcessor" | |
| }, | |
| "image_seq_length": 256, | |
| "processor_class": "Gemma3MMProcessor" | |
| } | |