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:
- ecfb6b1d62da5afaa2d11572bcba6f84bfdd2aaf0ead73c6bf0c2f56053ae905
- Size of remote file:
- 767 kB
- SHA256:
- 459126caeacd6aba0768dea88835e160c88522dd65e3a1d7971692dd0659b93c
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