Instructions to use hf-internal-testing/tiny-random-VideoMAEForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-VideoMAEForPreTraining with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForMultimodalLM processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-VideoMAEForPreTraining") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-VideoMAEForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58dfdd11cbfed61e4f5188432337c1074d745054f80f291da8591a89a005ac25
- Size of remote file:
- 28.7 MB
- SHA256:
- 6fd3e96446661b5df1798dde782048b012a384a6920abeef7342dadfa20be55a
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