Instructions to use hf-internal-testing/tiny-random-VisualBertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-VisualBertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-VisualBertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-VisualBertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65e2fd2ee71d9a7bea699dbd2c2bb7a2560ea1a22cc0aa2a70907d57fc061df7
- Size of remote file:
- 468 kB
- SHA256:
- 418d3ccf3070311524d2df6f7fe6e3c0bd7237e1177a9891c7b222b5623fc976
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