Instructions to use Joe99/visionlanguageTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joe99/visionlanguageTransformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="Joe99/visionlanguageTransformer")# Load model directly from transformers import AutoProcessor, ViltForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("Joe99/visionlanguageTransformer") model = ViltForVisualQuestionAnswering.from_pretrained("Joe99/visionlanguageTransformer") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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 | |
| ], | |
| "resample": 3, | |
| "size": 384, | |
| "size_divisor": 32 | |
| } | |