Instructions to use hf-internal-testing/tiny-vilt-random-vqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-vilt-random-vqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="hf-internal-testing/tiny-vilt-random-vqa")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-vilt-random-vqa") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-vilt-random-vqa") - Notebooks
- Google Colab
- Kaggle
File size: 289 Bytes
72a3e5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "ViltFeatureExtractor",
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "ViltProcessor",
"resample": 3,
"size": 384,
"size_divisor": 32
}
|