Instructions to use hf-tiny-model-private/tiny-random-MegatronBertForPreTraining 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-MegatronBertForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-MegatronBertForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d9f48a9535d43659e41a5c0f43597c12ba7e7964e729d93a810b055718fd82f
- Size of remote file:
- 931 kB
- SHA256:
- 6cd5f3c29af6027e1d7773175b24fdf93966bbdd39b49b7e9a54b1a6fad9c4c4
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