Instructions to use lbgan/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lbgan/test_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lbgan/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download processor_config.json from lbgan/test_model: direct link, hf CLI and curl.
- Browser
- Download file 98 Bytes
-
https://huggingface.co/lbgan/test_model/resolve/main/processor_config.json
- Command line
-
hf download hf://lbgan/test_model/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/lbgan/test_model/resolve/main/processor_config.json
98 Bytes
| { | |
| "audio_seq_length": 188, | |
| "image_seq_length": 256, | |
| "processor_class": "Gemma3nProcessor" | |
| } | |