Instructions to use nouman-10/vqa_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nouman-10/vqa_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nouman-10/vqa_test", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("nouman-10/vqa_test") model = AutoModelForVisualQuestionAnswering.from_pretrained("nouman-10/vqa_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 084c49c5a5caca9e36748e7b15f7e16f3897c15eb3408b3ccbca2a435d99b1d2
- Size of remote file:
- 451 MB
- SHA256:
- d129d5cd2df6b4e5b8ab521e296e34717f6a4eb4b88dd58057c237beb0c0a460
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