Instructions to use hf-internal-testing/tiny-random-ElectraForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ElectraForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ElectraForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-ElectraForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cc5737198bfe5310910237c4bbbbadef601021c27547330a4d3b0bba3d057bb
- Size of remote file:
- 1.13 MB
- SHA256:
- 652dddc2d5f248612e4a9cb65edb464b41e4ac3ad398bc0f9b724d06a437a9f0
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