Instructions to use uf-aice-lab/BLIP-Math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uf-aice-lab/BLIP-Math 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="uf-aice-lab/BLIP-Math")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("uf-aice-lab/BLIP-Math") model = AutoModelForImageTextToText.from_pretrained("uf-aice-lab/BLIP-Math") - Notebooks
- Google Colab
- Kaggle
File size: 287 Bytes
df6a4b1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"do_normalize": true,
"do_resize": true,
"image_mean": [
0.48145466,
0.4578275,
0.40821073
],
"image_processor_type": "BlipImageProcessor",
"image_std": [
0.26862954,
0.26130258,
0.27577711
],
"processor_class": "BlipProcessor",
"size": 384
}
|