Instructions to use cadena45564/cadena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cadena45564/cadena with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="cadena45564/cadena")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cadena45564/cadena", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rl/preprocessor_config.json from cadena45564/cadena: direct link, hf CLI and curl.
- Browser
- Download file 788 Bytes
-
https://huggingface.co/cadena45564/cadena/resolve/main/rl/preprocessor_config.json
- Command line
-
hf download hf://cadena45564/cadena/rl/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/cadena45564/cadena/resolve/main/rl/preprocessor_config.json
788 Bytes
| { | |
| "crop_size": null, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "device": null, | |
| "disable_grouping": null, | |
| "do_center_crop": null, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessorFast", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "input_data_format": null, | |
| "max_pixels": 508032, | |
| "merge_size": 2, | |
| "min_pixels": 508032, | |
| "patch_size": 14, | |
| "processor_class": "Qwen2VLProcessor", | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_tensors": null, | |
| "size": { | |
| "longest_edge": 508032, | |
| "shortest_edge": 508032 | |
| }, | |
| "temporal_patch_size": 2 | |
| } | |