Instructions to use hf-internal-testing/tiny-random-LxmertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LxmertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LxmertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-LxmertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5020dcdcb190d324d627d940b1a205645e67cbb41689ad42978061a2cece8186
- Size of remote file:
- 413 kB
- SHA256:
- 451cf2a6d456d6938b1015a3d4ca9ce9e2af9774574d2a8a05b02554d7ff8861
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