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 # Warning: Pipeline type "visual-question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("visual-question-answering", model="hf-tiny-model-private/tiny-random-ViltForQuestionAnswering")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-ViltForQuestionAnswering: direct link, hf CLI and curl.
- Browser
- Download file 429 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-ViltForQuestionAnswering/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-ViltForQuestionAnswering/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-ViltForQuestionAnswering/resolve/main/pytorch_model.bin
429 kB
- Xet hash:
- 75478d5e83816d5cfda6c4c4b6c18fe5279ba18711ec772c2d21f425d524f734
- Size of remote file:
- 429 kB
- SHA256:
- 5b8a10a1f5794f1881e0441e5972579e67ff8ef2093adaf2ca69f54e0b2ffea3
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