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:
- 03ad6b1a23b850c8d1f57b8abded77cb883262fbb3c45b12ef3f30d9d793aac0
- Size of remote file:
- 3.45 MB
- SHA256:
- 7839bfeed7ef34332739b8fea2b7770540dba4d127df929d64bc0493f9076159
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