Instructions to use hf-tiny-model-private/tiny-random-ViltForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ViltForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="hf-tiny-model-private/tiny-random-ViltForQuestionAnswering")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViltForQuestionAnswering") model = AutoModelForVisualQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-ViltForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering
processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViltForQuestionAnswering")
model = AutoModelForVisualQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-ViltForQuestionAnswering")Quick Links
No model card
- Downloads last month
- 18
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="hf-tiny-model-private/tiny-random-ViltForQuestionAnswering")