Instructions to use hf-internal-testing/tiny-random-ViltModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ViltModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ViltModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-ViltModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ViltModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78ed8d0ead4d5dec64a002842a43292009ecd74dd1fe002a341be8cff09c2d27
- Size of remote file:
- 417 kB
- SHA256:
- 5db933d218443d9c3adf0a6502dec1f67fa61da2e0eadaf82f3315dffaac697d
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