Instructions to use RaushanTurganbay/kimi2.7-processor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaushanTurganbay/kimi2.7-processor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaushanTurganbay/kimi2.7-processor", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_processor": { | |
| "auto_map": { | |
| "AutoImageProcessor": "kimi_k25_vision_processing.KimiK25VisionProcessor", | |
| "AutoProcessor": "kimi_k25_processor.KimiK25Processor" | |
| }, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Kimi_K25ImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_patches": 16384, | |
| "media_proc_cfg": { | |
| "config_type": "media_proc.processors.moonvit.MoonViTMediaProcessorConfig", | |
| "fixed_output_tokens": null, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "in_patch_limit": 16384, | |
| "in_patch_limit_each_frame": 4096, | |
| "in_patch_limit_video": 655360, | |
| "max_num_frames_each_video": null, | |
| "merge_kernel_size": 2, | |
| "patch_limit_on_one_side": 512, | |
| "patch_size": 14, | |
| "sample_fps": 8.0, | |
| "temporal_merge_kernel_size": 4, | |
| "timestamp_mode": "hh:mm:ss.fff" | |
| }, | |
| "merge_size": 2, | |
| "patch_size": 14, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "max_height": 512, | |
| "max_width": 512 | |
| } | |
| }, | |
| "processor_class": "Kimi_K25Processor", | |
| "video_processor": { | |
| "auto_map": { | |
| "AutoImageProcessor": "kimi_k25_vision_processing.KimiK25VisionProcessor", | |
| "AutoProcessor": "kimi_k25_processor.KimiK25Processor" | |
| }, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_sample_frames": true, | |
| "fps": 2, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_patches": 4096, | |
| "media_proc_cfg": { | |
| "config_type": "media_proc.processors.moonvit.MoonViTMediaProcessorConfig", | |
| "fixed_output_tokens": null, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "in_patch_limit": 16384, | |
| "in_patch_limit_each_frame": 4096, | |
| "in_patch_limit_video": 655360, | |
| "max_num_frames_each_video": null, | |
| "merge_kernel_size": 2, | |
| "patch_limit_on_one_side": 512, | |
| "patch_size": 14, | |
| "sample_fps": 8.0, | |
| "temporal_merge_kernel_size": 4, | |
| "timestamp_mode": "hh:mm:ss.fff" | |
| }, | |
| "merge_size": 2, | |
| "patch_size": 14, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_metadata": false, | |
| "size": { | |
| "max_height": 512, | |
| "max_width": 512 | |
| }, | |
| "temporal_patch_size": 4, | |
| "video_processor_type": "Kimi_K25VideoProcessor" | |
| } | |
| } | |