Instructions to use hf-internal-testing/tiny-random-MegatronBertForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec32cc4640bf8226b1a34333b875529ba07916f0a15257f38ebdbd39c5ec8fce
- Size of remote file:
- 931 kB
- SHA256:
- c3340f59bd2e75a9276fdb1d82c031d1035064ba8d49e9dc91a18ac7fda7a16b
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