Instructions to use hf-tiny-model-private/tiny-random-MobileBertForPreTraining 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-MobileBertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-MobileBertForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b5f0229f7d327d1006ee17c9257846d4bf62030b6fa17f828b661d97237d460
- Size of remote file:
- 3.45 MB
- SHA256:
- 77efcb7a25de7eca8984d5c4db7cfd0987a52266faa9cbd3735f2a66bed3f4e4
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