Instructions to use tiiuae/siglino-30M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiiuae/siglino-30M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="tiiuae/siglino-30M", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tiiuae/siglino-30M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_siglino.SigLinoImageProcessor" | |
| }, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "SigLinoImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_num_patches": 256, | |
| "max_pixels": 65536, | |
| "min_pixels": 16384, | |
| "patch_size": 16, | |
| "resample": 3, | |
| "transformers_version": "4.57.1" | |
| } | |