Video-Text-to-Text
Transformers
Safetensors
English
KeyeVL1_5
feature-extraction
multimodal
custom_code
Instructions to use Ranker644t7/Keye-VL-1_5-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ranker644t7/Keye-VL-1_5-8B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ranker644t7/Keye-VL-1_5-8B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 458 Bytes
0b690ad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"min_pixels": 3136,
"max_pixels": 16056320,
"patch_size": 14,
"temporal_patch_size": 1,
"merge_size": 2,
"image_mean": [
0.5,0.5,0.5
],
"image_std": [
0.5,0.5,0.5
],
"processor_class": "KeyeVL1_5Processor",
"auto_map": {
"AutoProcessor": "processing_keye_vl_1_5.KeyeVL1_5Processor",
"AutoImageProcessor": "image_processing_keye_vl_1_5.KeyeVL1_5ImageProcessor"
},
"size":{
"height": 384,
"width": 384
}
}
|