Instructions to use hf-internal-testing/tiny-random-ViltForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViltForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="hf-internal-testing/tiny-random-ViltForQuestionAnswering")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-ViltForQuestionAnswering") model = AutoModelForVisualQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ViltForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
faeffbf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9cbfd30fa1435a1c4005d862bd75d7679d41b66ce585f99168d0ed354222f0cb
size 428961
|