Instructions to use hf-tiny-model-private/tiny-random-ViltModel 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-ViltModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-ViltModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViltModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ViltModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2bf5321836c38cba8d20b508fdd5a1e787149481c1e523ca98ee95248f31f7d
- Size of remote file:
- 417 kB
- SHA256:
- af7e46ef9a2249bb2b4b2897c60864233d543973e1ae88fbe42f3c4d8be8f657
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