Instructions to use hf-tiny-model-private/tiny-random-VisualBertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-VisualBertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-VisualBertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-VisualBertForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96896d0f5adbe4f795548f810ca4ebf8f2ff2039fa27ca983711c25e1476e0f7
- Size of remote file:
- 468 kB
- SHA256:
- aa97dac5a6f9d62693076d99155ed6a40a7d0620294081702c7da931e3455d5c
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