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
File size: 459 Bytes
e5f4b9e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"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"
}
|