Instructions to use juletxara/lxmert-vsr-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juletxara/lxmert-vsr-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("juletxara/lxmert-vsr-random") model = AutoModelForPreTraining.from_pretrained("juletxara/lxmert-vsr-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d3c22f1ca22a50965fcdac6c24f0700c533f9c367e32eef11bbd8216bd4c27c
- Size of remote file:
- 912 MB
- SHA256:
- f85d32473cd475f30f94e685265b5c1ecffc72419f61fd4689f9cc7c4bd252b6
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