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:
- bf43f74dd4a118194c37747f11816932fae56b5e3d544ba954b9e455104b4da1
- Size of remote file:
- 1.04 MB
- SHA256:
- 569a1ef645226b7e1a780fd6bfc0abbda646ed824fa6ca2bfa83c31960b8f3d2
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