Instructions to use hf-tiny-model-private/tiny-random-FlavaForPreTraining 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-FlavaForPreTraining with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-FlavaForPreTraining") model = AutoModelForMultimodalLM.from_pretrained("hf-tiny-model-private/tiny-random-FlavaForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c464e1261748e588ef57e86bff3931b22bdba18e0e84ca852b096ee9e2ea404c
- Size of remote file:
- 218 MB
- SHA256:
- 38ca61e225272a1df8aa6d284ebb0d51807a34294f328ef250ea255a6c2b1dd7
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