Instructions to use techyy/llava-finetuning-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techyy/llava-finetuning-demo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("techyy/llava-finetuning-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from techyy/llava-finetuning-demo: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/techyy/llava-finetuning-demo/resolve/main/processor_config.json
- Command line
-
hf download hf://techyy/llava-finetuning-demo/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/techyy/llava-finetuning-demo/resolve/main/processor_config.json
67 Bytes
| { | |
| "chat_template": null, | |
| "processor_class": "LlavaProcessor" | |
| } | |