Video-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen2_5_vl
image-text-to-text
video-understanding
multimodal
SWIM
Qwen2.5-VL
fine-grained-understanding
Eval Results (legacy)
text-generation-inference
Instructions to use BBBBCHAN/SWIM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BBBBCHAN/SWIM-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("BBBBCHAN/SWIM-7B") model = AutoModelForImageTextToText.from_pretrained("BBBBCHAN/SWIM-7B") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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" | |
| } |