Instructions to use hf-internal-testing/tiny-random-MobileBertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-MobileBertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f2fc7df86cca7c9daed3103ba8336e76332d1ca0f3c79c9cf699675b09cc346
- Size of remote file:
- 3.04 MB
- SHA256:
- a619d9698abf12ed5e646ab7d6587a080f30d0f3999ed0cc2848dfb57f0d7287
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