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:
- 256b9964babaabb8c0de732b5b6cda3e8f41e5409f29d16c5a99103b223ed8ba
- Size of remote file:
- 767 kB
- SHA256:
- 20d07fec22c9a53fa9f128818e44ffba0db698f328f1dc68a13d52a49c086b58
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