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:
- d099a7742a52b028fc4cedbbb2057481f26143af75be3a329b6151d2410599de
- Size of remote file:
- 3.04 MB
- SHA256:
- a5685253ba0ea1992f1e8d7e9c48eb40d8811f5725c23a488089abcd32bf81fb
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