Video-Text-to-Text
Transformers
TensorBoard
Safetensors
4DThinker
dynamic-spatial-reasoning
vision-language-model
latent-reasoning
Instructions to use jankin123/4DThinker-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jankin123/4DThinker-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jankin123/4DThinker-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download dift/checkpoints/preprocessor_config.json from jankin123/4DThinker-3B: direct link, hf CLI and curl.
- Browser
- Download file 351 Bytes
-
https://huggingface.co/jankin123/4DThinker-3B/resolve/main/dift/checkpoints/preprocessor_config.json
- Command line
-
hf download hf://jankin123/4DThinker-3B/dift/checkpoints/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/jankin123/4DThinker-3B/resolve/main/dift/checkpoints/preprocessor_config.json
351 Bytes
| { | |
| "min_pixels": 3136, | |
| "max_pixels": 12845056, | |
| "patch_size": 14, | |
| "temporal_patch_size": 2, | |
| "merge_size": 2, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessor", | |
| "processor_class": "Qwen2_5_VLProcessor" | |
| } | |