Instructions to use hf-tiny-model-private/tiny-random-LxmertForPreTraining 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-LxmertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LxmertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-LxmertForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38a447893fa86d2ddf09b8fd73c38e42bb59e497f489cb610d36c99ffceefdb0
- Size of remote file:
- 437 kB
- SHA256:
- 188a77f2299fe8486a72fbd97f0aeff6402a79bea9d26b647db76a4137bd4f30
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