Image Feature Extraction
Transformers
Safetensors
pixtral_large4_vision
feature-extraction
vision
custom_code
Instructions to use immanuelpeter/PixtralViT-Large-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immanuelpeter/PixtralViT-Large-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="immanuelpeter/PixtralViT-Large-4", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immanuelpeter/PixtralViT-Large-4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from immanuelpeter/PixtralViT-Large-4: direct link, hf CLI and curl.
- Browser
- Download file 466 Bytes
-
https://huggingface.co/immanuelpeter/PixtralViT-Large-4/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://immanuelpeter/PixtralViT-Large-4/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/immanuelpeter/PixtralViT-Large-4/resolve/main/preprocessor_config.json
466 Bytes
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_pad": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "PixtralImageProcessor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "patch_size": 14, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "longest_edge": 1540 | |
| }, | |
| "processor_class": "AutoImageProcessor" | |
| } | |