Instructions to use RoleModel/glm-4v-flash-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RoleModel/glm-4v-flash-reasoning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RoleModel/glm-4v-flash-reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download processor_config.json from RoleModel/glm-4v-flash-reasoning: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/RoleModel/glm-4v-flash-reasoning/resolve/main/processor_config.json
- Command line
-
hf download hf://RoleModel/glm-4v-flash-reasoning/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/RoleModel/glm-4v-flash-reasoning/resolve/main/processor_config.json
1.69 kB
| { | |
| "image_processor": { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "Glm46VImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "merge_size": 2, | |
| "patch_size": 14, | |
| "processor_class": "Glm46VProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 9633792, | |
| "shortest_edge": 12544 | |
| }, | |
| "temporal_patch_size": 2 | |
| }, | |
| "processor_class": "Glm46VProcessor", | |
| "video_processor": { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "device": null, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": null, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_sample_frames": true, | |
| "fps": 2, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "input_data_format": null, | |
| "max_duration": 300, | |
| "max_image_size": { | |
| "longest_edge": 47040000 | |
| }, | |
| "merge_size": 2, | |
| "num_frames": 16, | |
| "pad_size": null, | |
| "patch_size": 14, | |
| "processor_class": "Glm46VProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_metadata": false, | |
| "return_tensors": null, | |
| "size": { | |
| "longest_edge": 100352000, | |
| "shortest_edge": 12544 | |
| }, | |
| "temporal_patch_size": 2, | |
| "video_metadata": null, | |
| "video_processor_type": "Glm46VVideoProcessor" | |
| } | |
| } | |