Instructions to use sweta-14/idefics3_DL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sweta-14/idefics3_DL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sweta-14/idefics3_DL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from sweta-14/idefics3_DL: direct link, hf CLI and curl.
- Browser
- Download file 69 Bytes
-
https://huggingface.co/sweta-14/idefics3_DL/resolve/main/processor_config.json
- Command line
-
hf download hf://sweta-14/idefics3_DL/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/sweta-14/idefics3_DL/resolve/main/processor_config.json
69 Bytes
| { | |
| "image_seq_len": 169, | |
| "processor_class": "Idefics3Processor" | |
| } | |