Instructions to use llava-hf/LLaVA-NeXT-Video-7B-DPO-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llava-hf/LLaVA-NeXT-Video-7B-DPO-hf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-DPO-hf") model = AutoModelForMultimodalLM.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-DPO-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from llava-hf/LLaVA-NeXT-Video-7B-DPO-hf: direct link, hf CLI and curl.
- Browser
- Download file 741 Bytes
-
https://huggingface.co/llava-hf/LLaVA-NeXT-Video-7B-DPO-hf/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://llava-hf/LLaVA-NeXT-Video-7B-DPO-hf/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/llava-hf/LLaVA-NeXT-Video-7B-DPO-hf/resolve/main/preprocessor_config.json
741 Bytes
| { | |
| "crop_size": { | |
| "height": 336, | |
| "width": 336 | |
| }, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_grid_pinpoints": [ | |
| [ | |
| 336, | |
| 672 | |
| ], | |
| [ | |
| 672, | |
| 336 | |
| ], | |
| [ | |
| 672, | |
| 672 | |
| ], | |
| [ | |
| 1008, | |
| 336 | |
| ], | |
| [ | |
| 336, | |
| 1008 | |
| ] | |
| ], | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "LlavaNextImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "processor_class": "LlavaNextVideoProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "shortest_edge": 336 | |
| } | |
| } | |