Instructions to use vijay-ravichander/Col256-Non-Distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vijay-ravichander/Col256-Non-Distill with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, ColIdefics3 processor = AutoProcessor.from_pretrained("vijay-ravichander/Col256-Non-Distill") model = ColIdefics3.from_pretrained("vijay-ravichander/Col256-Non-Distill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from vijay-ravichander/Col256-Non-Distill: direct link, hf CLI and curl.
- Browser
- Download file 71 Bytes
-
https://huggingface.co/vijay-ravichander/Col256-Non-Distill/resolve/main/processor_config.json
- Command line
-
hf download hf://vijay-ravichander/Col256-Non-Distill/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/vijay-ravichander/Col256-Non-Distill/resolve/main/processor_config.json
71 Bytes
| { | |
| "image_seq_len": 64, | |
| "processor_class": "Idefics3Processor" | |
| } |