Instructions to use hf-internal-testing/tiny-random-FlavaForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FlavaForPreTraining with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-FlavaForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-FlavaForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07b68dac69ba7992520218881ca03d2fa9e3468cd792e2155cbc64e0b8fb0afa
- Size of remote file:
- 218 MB
- SHA256:
- c8a862b63f50d590fcb2cbde8f065905c427a72b1c2f78ba13c23246d49f3bf3
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