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:
- 87f467443cd0369154c7bb6eed964a629d7c288a08d06e690e9abc27ad3243dd
- Size of remote file:
- 437 kB
- SHA256:
- a4d77d7358a408ad7bbf0e9225da23cc29f25aaa5649327d0f9bc1f971bc7856
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